Tag Archives: matlab
What licenses are required for running Polyspace code prover ?
Does Polyspace code prover require having both bug finder and code prover licenses ?
Does it also require having MATLAB license ? If yes, then which toolbox(es) are mandatory ?Does Polyspace code prover require having both bug finder and code prover licenses ?
Does it also require having MATLAB license ? If yes, then which toolbox(es) are mandatory ? Does Polyspace code prover require having both bug finder and code prover licenses ?
Does it also require having MATLAB license ? If yes, then which toolbox(es) are mandatory ? polyspace, code prover, license MATLAB Answers — New Questions
How to get input from a simulink model to .m file ?
I made a simulink model and linked it with interpreted matlab function block which has my .m code file, but I need 6 inputs to the .m file that are supposed to come from my model. What function do I use in my .m file to get values from my simulink model. As the interpreted function block has only one input, I have used a MUX.I made a simulink model and linked it with interpreted matlab function block which has my .m code file, but I need 6 inputs to the .m file that are supposed to come from my model. What function do I use in my .m file to get values from my simulink model. As the interpreted function block has only one input, I have used a MUX. I made a simulink model and linked it with interpreted matlab function block which has my .m code file, but I need 6 inputs to the .m file that are supposed to come from my model. What function do I use in my .m file to get values from my simulink model. As the interpreted function block has only one input, I have used a MUX. simulink to .m file MATLAB Answers — New Questions
how to download data from website?
Dear all,
I am trying to download data from the following website
https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/
my problem is I can not get the files, meaning only the html been located to my computer. (below what I used to locat the link into my machine)
url=’https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/’
filename=’A2019.nc’
outfilename=websave(filename,url)
what I need is getting the files separtly and read them.
Thanks for the help.Dear all,
I am trying to download data from the following website
https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/
my problem is I can not get the files, meaning only the html been located to my computer. (below what I used to locat the link into my machine)
url=’https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/’
filename=’A2019.nc’
outfilename=websave(filename,url)
what I need is getting the files separtly and read them.
Thanks for the help. Dear all,
I am trying to download data from the following website
https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/
my problem is I can not get the files, meaning only the html been located to my computer. (below what I used to locat the link into my machine)
url=’https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Daily/4km/sst/2019/’
filename=’A2019.nc’
outfilename=websave(filename,url)
what I need is getting the files separtly and read them.
Thanks for the help. for loop, download MATLAB Answers — New Questions
MATLAB_Runtime_R2023b crashing with Segmentation violation detected Error
Matlab runtime (MATLAB_Runtime_R2023b_Update_3_glnxa64) is hosted on Ubuntu Linux container ( with 2 CPU and 6 GB RAM ) hosted on Azure Kubernetes Service (AKS) Cluster.
This error message is logged randomly and container stop responding. What is the solution for this error ?
——————————————————————————–
Segmentation violation detected at 2024-03-13 18:04:53 +0000
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : US-ASCII
Deployed : true
GNU C Library : 2.31 stable
Graphics Driver : Uninitialized software
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /opt/mcr/R2023b
MATLAB Version : 23.2.0.2409890 (R2023b) Update 3
OpenGL : software
Operating System : Linux 5.15.0-1057-azure #65-Ubuntu SMP Fri Feb 9 18:39:24 UTC 2024 x86_64
Process ID : 1
Processor ID : x86 Family 6 Model 106 Stepping 6, GenuineIntel
Session Key : acfe8214-d6b9-425f-b051-d04606169c6a
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Current Thread: ‘.NET ThreadPool’ id 140524811020032
Register State (from fault):
RAX = 0000000000000000 RBX = 00007fcffa3df748
RCX = 0000000000000053 RDX = 00007fcfdc0214d0
RSP = 00007fce7b7145d0 RBP = 00007fce7b714610
RSI = 0000000000000000 RDI = 00007fcff8299c48
R8 = 0000000000000000 R9 = 00007fcfdd67aee0
R10 = 00007fcfdc478c70 R11 = 00007fcfe0a28158
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 00007fcffa3df6f0 R15 = 0000000000000000
RIP = 00007fda13c71038 EFL = 0000000000010202
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fda13c71038 <unknown-module>+00000000
[ 1] 0x00007fda13d1702d <unknown-module>+00000000
[ 2] 0x00007fda13d0d4e3 <unknown-module>+00000000
[ 3] 0x00007fda13ccc310 <unknown-module>+00000000
[ 4] 0x00007fda13ccbde9 <unknown-module>+00000000
[ 5] 0x00007fda13ccac2b <unknown-module>+00000000
[ 6] 0x00007fda13d9c2db <unknown-module>+00000000
[ 7] 0x00007fda13d9c0ca <unknown-module>+00000000
[ 8] 0x00007fda13d74aa2 <unknown-module>+00000000
[ 9] 0x00007fda13d7492a <unknown-module>+00000000
[ 10] 0x00007fda13d747f0 <unknown-module>+00000000
[ 11] 0x00007fda13d7436f <unknown-module>+00000000
[ 12] 0x00007fda13d741f8 <unknown-module>+00000000
[ 13] 0x00007fda13d74142 <unknown-module>+00000000
[ 14] 0x00007fda13d72b48 <unknown-module>+00000000
[ 15] 0x00007fda13d727b8 <unknown-module>+00000000
[ 16] 0x00007fda13d72700 <unknown-module>+00000000
[ 17] 0x00007fda13d70b81 <unknown-module>+00000000
[ 18] 0x00007fda13d70878 <unknown-module>+00000000
[ 19] 0x00007fda13d707b4 <unknown-module>+00000000
[ 20] 0x00007fda13d6fc5b <unknown-module>+00000000
[ 21] 0x00007fda13d6f978 <unknown-module>+00000000
[ 22] 0x00007fda13d6f8bf <unknown-module>+00000000
[ 23] 0x00007fda13d6d93c <unknown-module>+00000000
[ 24] 0x00007fda13d6cd38 <unknown-module>+00000000
[ 25] 0x00007fda13d6cc81 <unknown-module>+00000000
[ 26] 0x00007fda13d6c883 <unknown-module>+00000000
[ 27] 0x00007fda13d6c238 <unknown-module>+00000000
[ 28] 0x00007fda13d6c181 <unknown-module>+00000000
[ 29] 0x00007fda13d6bc61 <unknown-module>+00000000
[ 30] 0x00007fda12cc82f9 <unknown-module>+00000000
[ 31] 0x00007fda13d68e3a <unknown-module>+00000000
[ 32] 0x00007fda127834f1 <unknown-module>+00000000
[ 33] 0x00007fda13d940c4 <unknown-module>+00000000
[ 34] 0x00007fda89d98657 /home/gwam/libcoreclr.so+03683927
[ 35] 0x00007fda89bce14e /home/gwam/libcoreclr.so+01806670
[ 36] 0x00007fda89be6cd2 /home/gwam/libcoreclr.so+01907922
[ 37] 0x00007fda89b92c0a /home/gwam/libcoreclr.so+01563658
[ 38] 0x00007fda89b9320d /home/gwam/libcoreclr.so+01565197
[ 39] 0x00007fda89be6da7 /home/gwam/libcoreclr.so+01908135
[ 40] 0x00007fda89f2cdbe /home/gwam/libcoreclr.so+05340606
[ 41] 0x00007fda8a730ea7 /lib/x86_64-linux-gnu/libpthread.so.0+00032423
[ 42] 0x00007fda8a314a6f /lib/x86_64-linux-gnu/libc.so.6+01030767 clone+00000063
** This crash report has been saved to disk as /root/matlab_crash_dump.1-1 **Matlab runtime (MATLAB_Runtime_R2023b_Update_3_glnxa64) is hosted on Ubuntu Linux container ( with 2 CPU and 6 GB RAM ) hosted on Azure Kubernetes Service (AKS) Cluster.
This error message is logged randomly and container stop responding. What is the solution for this error ?
——————————————————————————–
Segmentation violation detected at 2024-03-13 18:04:53 +0000
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : US-ASCII
Deployed : true
GNU C Library : 2.31 stable
Graphics Driver : Uninitialized software
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /opt/mcr/R2023b
MATLAB Version : 23.2.0.2409890 (R2023b) Update 3
OpenGL : software
Operating System : Linux 5.15.0-1057-azure #65-Ubuntu SMP Fri Feb 9 18:39:24 UTC 2024 x86_64
Process ID : 1
Processor ID : x86 Family 6 Model 106 Stepping 6, GenuineIntel
Session Key : acfe8214-d6b9-425f-b051-d04606169c6a
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Current Thread: ‘.NET ThreadPool’ id 140524811020032
Register State (from fault):
RAX = 0000000000000000 RBX = 00007fcffa3df748
RCX = 0000000000000053 RDX = 00007fcfdc0214d0
RSP = 00007fce7b7145d0 RBP = 00007fce7b714610
RSI = 0000000000000000 RDI = 00007fcff8299c48
R8 = 0000000000000000 R9 = 00007fcfdd67aee0
R10 = 00007fcfdc478c70 R11 = 00007fcfe0a28158
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 00007fcffa3df6f0 R15 = 0000000000000000
RIP = 00007fda13c71038 EFL = 0000000000010202
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fda13c71038 <unknown-module>+00000000
[ 1] 0x00007fda13d1702d <unknown-module>+00000000
[ 2] 0x00007fda13d0d4e3 <unknown-module>+00000000
[ 3] 0x00007fda13ccc310 <unknown-module>+00000000
[ 4] 0x00007fda13ccbde9 <unknown-module>+00000000
[ 5] 0x00007fda13ccac2b <unknown-module>+00000000
[ 6] 0x00007fda13d9c2db <unknown-module>+00000000
[ 7] 0x00007fda13d9c0ca <unknown-module>+00000000
[ 8] 0x00007fda13d74aa2 <unknown-module>+00000000
[ 9] 0x00007fda13d7492a <unknown-module>+00000000
[ 10] 0x00007fda13d747f0 <unknown-module>+00000000
[ 11] 0x00007fda13d7436f <unknown-module>+00000000
[ 12] 0x00007fda13d741f8 <unknown-module>+00000000
[ 13] 0x00007fda13d74142 <unknown-module>+00000000
[ 14] 0x00007fda13d72b48 <unknown-module>+00000000
[ 15] 0x00007fda13d727b8 <unknown-module>+00000000
[ 16] 0x00007fda13d72700 <unknown-module>+00000000
[ 17] 0x00007fda13d70b81 <unknown-module>+00000000
[ 18] 0x00007fda13d70878 <unknown-module>+00000000
[ 19] 0x00007fda13d707b4 <unknown-module>+00000000
[ 20] 0x00007fda13d6fc5b <unknown-module>+00000000
[ 21] 0x00007fda13d6f978 <unknown-module>+00000000
[ 22] 0x00007fda13d6f8bf <unknown-module>+00000000
[ 23] 0x00007fda13d6d93c <unknown-module>+00000000
[ 24] 0x00007fda13d6cd38 <unknown-module>+00000000
[ 25] 0x00007fda13d6cc81 <unknown-module>+00000000
[ 26] 0x00007fda13d6c883 <unknown-module>+00000000
[ 27] 0x00007fda13d6c238 <unknown-module>+00000000
[ 28] 0x00007fda13d6c181 <unknown-module>+00000000
[ 29] 0x00007fda13d6bc61 <unknown-module>+00000000
[ 30] 0x00007fda12cc82f9 <unknown-module>+00000000
[ 31] 0x00007fda13d68e3a <unknown-module>+00000000
[ 32] 0x00007fda127834f1 <unknown-module>+00000000
[ 33] 0x00007fda13d940c4 <unknown-module>+00000000
[ 34] 0x00007fda89d98657 /home/gwam/libcoreclr.so+03683927
[ 35] 0x00007fda89bce14e /home/gwam/libcoreclr.so+01806670
[ 36] 0x00007fda89be6cd2 /home/gwam/libcoreclr.so+01907922
[ 37] 0x00007fda89b92c0a /home/gwam/libcoreclr.so+01563658
[ 38] 0x00007fda89b9320d /home/gwam/libcoreclr.so+01565197
[ 39] 0x00007fda89be6da7 /home/gwam/libcoreclr.so+01908135
[ 40] 0x00007fda89f2cdbe /home/gwam/libcoreclr.so+05340606
[ 41] 0x00007fda8a730ea7 /lib/x86_64-linux-gnu/libpthread.so.0+00032423
[ 42] 0x00007fda8a314a6f /lib/x86_64-linux-gnu/libc.so.6+01030767 clone+00000063
** This crash report has been saved to disk as /root/matlab_crash_dump.1-1 ** Matlab runtime (MATLAB_Runtime_R2023b_Update_3_glnxa64) is hosted on Ubuntu Linux container ( with 2 CPU and 6 GB RAM ) hosted on Azure Kubernetes Service (AKS) Cluster.
This error message is logged randomly and container stop responding. What is the solution for this error ?
——————————————————————————–
Segmentation violation detected at 2024-03-13 18:04:53 +0000
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : US-ASCII
Deployed : true
GNU C Library : 2.31 stable
Graphics Driver : Uninitialized software
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /opt/mcr/R2023b
MATLAB Version : 23.2.0.2409890 (R2023b) Update 3
OpenGL : software
Operating System : Linux 5.15.0-1057-azure #65-Ubuntu SMP Fri Feb 9 18:39:24 UTC 2024 x86_64
Process ID : 1
Processor ID : x86 Family 6 Model 106 Stepping 6, GenuineIntel
Session Key : acfe8214-d6b9-425f-b051-d04606169c6a
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Current Thread: ‘.NET ThreadPool’ id 140524811020032
Register State (from fault):
RAX = 0000000000000000 RBX = 00007fcffa3df748
RCX = 0000000000000053 RDX = 00007fcfdc0214d0
RSP = 00007fce7b7145d0 RBP = 00007fce7b714610
RSI = 0000000000000000 RDI = 00007fcff8299c48
R8 = 0000000000000000 R9 = 00007fcfdd67aee0
R10 = 00007fcfdc478c70 R11 = 00007fcfe0a28158
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 00007fcffa3df6f0 R15 = 0000000000000000
RIP = 00007fda13c71038 EFL = 0000000000010202
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fda13c71038 <unknown-module>+00000000
[ 1] 0x00007fda13d1702d <unknown-module>+00000000
[ 2] 0x00007fda13d0d4e3 <unknown-module>+00000000
[ 3] 0x00007fda13ccc310 <unknown-module>+00000000
[ 4] 0x00007fda13ccbde9 <unknown-module>+00000000
[ 5] 0x00007fda13ccac2b <unknown-module>+00000000
[ 6] 0x00007fda13d9c2db <unknown-module>+00000000
[ 7] 0x00007fda13d9c0ca <unknown-module>+00000000
[ 8] 0x00007fda13d74aa2 <unknown-module>+00000000
[ 9] 0x00007fda13d7492a <unknown-module>+00000000
[ 10] 0x00007fda13d747f0 <unknown-module>+00000000
[ 11] 0x00007fda13d7436f <unknown-module>+00000000
[ 12] 0x00007fda13d741f8 <unknown-module>+00000000
[ 13] 0x00007fda13d74142 <unknown-module>+00000000
[ 14] 0x00007fda13d72b48 <unknown-module>+00000000
[ 15] 0x00007fda13d727b8 <unknown-module>+00000000
[ 16] 0x00007fda13d72700 <unknown-module>+00000000
[ 17] 0x00007fda13d70b81 <unknown-module>+00000000
[ 18] 0x00007fda13d70878 <unknown-module>+00000000
[ 19] 0x00007fda13d707b4 <unknown-module>+00000000
[ 20] 0x00007fda13d6fc5b <unknown-module>+00000000
[ 21] 0x00007fda13d6f978 <unknown-module>+00000000
[ 22] 0x00007fda13d6f8bf <unknown-module>+00000000
[ 23] 0x00007fda13d6d93c <unknown-module>+00000000
[ 24] 0x00007fda13d6cd38 <unknown-module>+00000000
[ 25] 0x00007fda13d6cc81 <unknown-module>+00000000
[ 26] 0x00007fda13d6c883 <unknown-module>+00000000
[ 27] 0x00007fda13d6c238 <unknown-module>+00000000
[ 28] 0x00007fda13d6c181 <unknown-module>+00000000
[ 29] 0x00007fda13d6bc61 <unknown-module>+00000000
[ 30] 0x00007fda12cc82f9 <unknown-module>+00000000
[ 31] 0x00007fda13d68e3a <unknown-module>+00000000
[ 32] 0x00007fda127834f1 <unknown-module>+00000000
[ 33] 0x00007fda13d940c4 <unknown-module>+00000000
[ 34] 0x00007fda89d98657 /home/gwam/libcoreclr.so+03683927
[ 35] 0x00007fda89bce14e /home/gwam/libcoreclr.so+01806670
[ 36] 0x00007fda89be6cd2 /home/gwam/libcoreclr.so+01907922
[ 37] 0x00007fda89b92c0a /home/gwam/libcoreclr.so+01563658
[ 38] 0x00007fda89b9320d /home/gwam/libcoreclr.so+01565197
[ 39] 0x00007fda89be6da7 /home/gwam/libcoreclr.so+01908135
[ 40] 0x00007fda89f2cdbe /home/gwam/libcoreclr.so+05340606
[ 41] 0x00007fda8a730ea7 /lib/x86_64-linux-gnu/libpthread.so.0+00032423
[ 42] 0x00007fda8a314a6f /lib/x86_64-linux-gnu/libc.so.6+01030767 clone+00000063
** This crash report has been saved to disk as /root/matlab_crash_dump.1-1 ** runtime, linux MATLAB Answers — New Questions
在java语言中调用matlab生成的jar包时，出现 Segmentation violation detected 错误
版本为R2020a，错误信息如下：
——————————————————————————–
Segmentation violation detected at 五 8月 11 11:25:11 2023 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : true
GNU C Library : 2.17 stable
Graphics Driver : Unknown software
Graphics card 1 : 0x102b ( 0x102b ) 0x522 Version 0.0.0.0 (0-0-0)
Java Version : Java 1.8.0_131-b11 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /data/matlab/mcr/v98
MATLAB Version : 9.8.0.1873465 (R2020a) Update 8
OpenGL : software
Operating System : Linux 3.10.0-1062.el7.x86_64 #1 SMP Wed Aug 7 18:08:02 UTC 2019 x86_64
Process ID : 36940
Processor ID : x86 Family 6 Model 85 Stepping 4, GenuineIntel
Session Key : 9d1307a4-b42b-4d7f-b103-6b4d94474099
Static TLS mitigation : Disabled: Unnecessary
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Register State (from fault):
RAX = 00007fe194190fb0 RBX = 00007fe1739ffa54
RCX = 0000000000000001 RDX = 00007fe172754260
RSP = 00007fe316017d98 RBP = 00007fe316017e10
RSI = 0000000000000001 RDI = 00007fe1941909c0
R8 = 00007fe173a01460 R9 = 0000000000000008
R10 = 00007fe67a60a5d8 R11 = 00007fe196663900
R12 = 00007fe172754260 R13 = 00007fe173a01460
R14 = 0000000000000001 R15 = 00007fe173a01390
RIP = 00007fe194189750 EFL = 0000000000010206
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fe194189750 <unknown-module>+00000000
[ 1] 0x00007fe640cd0d48 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04042056
[ 2] 0x00007fe640cd3688 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04052616
[ 3] 0x00007fe640cdb6c2 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04085442
[ 4] 0x00007fe640cd0279 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04039289
[ 5] 0x00007fe640e4c45f /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05596255
[ 6] 0x00007fe640e46577 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05571959
[ 7] 0x00007fe65af7f3f6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00578550
[ 8] 0x00007fe65af7f6d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00579281 _ZN18Mfh_MATLAB_fn_impl8dispatchEiPSt10unique_ptrI11mxArray_tagN6matrix6detail17mxDestroy_deleterEEiPPS1_+00000033
[ 9] 0x00007fe6522ed52d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10163501
[ 10] 0x00007fe6522f2066 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10182758
[ 11] 0x00007fe6523fe84e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11282510
[ 12] 0x00007fe6523f18d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229393
[ 13] 0x00007fe6523f1988 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229576
[ 14] 0x00007fe65235f644 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10630724
[ 15] 0x00007fe652386a8d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10791565
[ 16] 0x00007fe651e9a667 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05629543
[ 17] 0x00007fe651e9c8f4 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05638388
[ 18] 0x00007fe651e995cd /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05625293
[ 19] 0x00007fe651e911b1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05591473
[ 20] 0x00007fe651e913e9 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05592041
[ 21] 0x00007fe651e98dd6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623254
[ 22] 0x00007fe651e98ed6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623510
[ 23] 0x00007fe651fd258d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06907277
[ 24] 0x00007fe651fd5d05 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06921477
[ 25] 0x00007fe6521fcd51 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09178449
[ 26] 0x00007fe6522dd3f7 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10097655
[ 27] 0x00007fe6522dd645 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10098245
[ 28] 0x00007fe65b0010ef /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01110255 _ZN8Mfh_file20dispatch_file_commonEMS_FviPP11mxArray_tagiS2_EiS2_iS2_+00000207
[ 29] 0x00007fe65b0032a3 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01118883 _ZN8Mfh_file19dispatch_with_reuseEiPP11mxArray_tagiS2_+00000323
[ 30] 0x00007fe65241c94e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11405646
[ 31] 0x00007fe6521a7cb6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830134
[ 32] 0x00007fe6521a7e2c /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830508
[ 33] 0x00007fe65224806b /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09486443
[ 34] 0x00007fe652249118 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09490712
[ 35] 0x00007fe65b19e1f0 /data/matlab/mcr/v98/bin/glnxa64/libmwm_interpreter.so+01335792 _Z44inCallFcnWithTrapInDesiredWSAndPublishEventsiPP11mxArray_tagiS1_PKcbP15inWorkSpace_tag+00000080
[ 36] 0x00007fe65a6c39b5 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00735669 _ZN3iqm15BaseFEvalPlugin7executeEP15inWorkSpace_tag+00001253
[ 37] 0x00007fe65b5563a9 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00951209
[ 38] 0x00007fe65a6b3130 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00667952
[ 39] 0x00007fe65a696c39 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00551993
[ 40] 0x00007fe65a69787b /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00555131
[ 41] 0x00007fe65b53b018 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00839704
[ 42] 0x00007fe65b53b632 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00841266
[ 43] 0x00007fe65b53bea4 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00843428
[ 44] 0x00007fe669913a02 /data/matlab/mcr/v98/bin/glnxa64/libmwboost_thread.so.1.70.0+00064002
[ 45] 0x00007fe6fefbee65 /lib64/libpthread.so.0+00032357
[ 46] 0x00007fe6fe8cd88d /lib64/libc.so.6+01042573 clone+00000109
** This crash report has been saved to disk as /root/matlab_crash_dump.36940-1 **
MATLAB is exiting because of fatal error
请解答，谢谢！！！！版本为R2020a，错误信息如下：
——————————————————————————–
Segmentation violation detected at 五 8月 11 11:25:11 2023 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : true
GNU C Library : 2.17 stable
Graphics Driver : Unknown software
Graphics card 1 : 0x102b ( 0x102b ) 0x522 Version 0.0.0.0 (0-0-0)
Java Version : Java 1.8.0_131-b11 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /data/matlab/mcr/v98
MATLAB Version : 9.8.0.1873465 (R2020a) Update 8
OpenGL : software
Operating System : Linux 3.10.0-1062.el7.x86_64 #1 SMP Wed Aug 7 18:08:02 UTC 2019 x86_64
Process ID : 36940
Processor ID : x86 Family 6 Model 85 Stepping 4, GenuineIntel
Session Key : 9d1307a4-b42b-4d7f-b103-6b4d94474099
Static TLS mitigation : Disabled: Unnecessary
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Register State (from fault):
RAX = 00007fe194190fb0 RBX = 00007fe1739ffa54
RCX = 0000000000000001 RDX = 00007fe172754260
RSP = 00007fe316017d98 RBP = 00007fe316017e10
RSI = 0000000000000001 RDI = 00007fe1941909c0
R8 = 00007fe173a01460 R9 = 0000000000000008
R10 = 00007fe67a60a5d8 R11 = 00007fe196663900
R12 = 00007fe172754260 R13 = 00007fe173a01460
R14 = 0000000000000001 R15 = 00007fe173a01390
RIP = 00007fe194189750 EFL = 0000000000010206
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fe194189750 <unknown-module>+00000000
[ 1] 0x00007fe640cd0d48 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04042056
[ 2] 0x00007fe640cd3688 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04052616
[ 3] 0x00007fe640cdb6c2 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04085442
[ 4] 0x00007fe640cd0279 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04039289
[ 5] 0x00007fe640e4c45f /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05596255
[ 6] 0x00007fe640e46577 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05571959
[ 7] 0x00007fe65af7f3f6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00578550
[ 8] 0x00007fe65af7f6d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00579281 _ZN18Mfh_MATLAB_fn_impl8dispatchEiPSt10unique_ptrI11mxArray_tagN6matrix6detail17mxDestroy_deleterEEiPPS1_+00000033
[ 9] 0x00007fe6522ed52d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10163501
[ 10] 0x00007fe6522f2066 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10182758
[ 11] 0x00007fe6523fe84e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11282510
[ 12] 0x00007fe6523f18d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229393
[ 13] 0x00007fe6523f1988 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229576
[ 14] 0x00007fe65235f644 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10630724
[ 15] 0x00007fe652386a8d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10791565
[ 16] 0x00007fe651e9a667 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05629543
[ 17] 0x00007fe651e9c8f4 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05638388
[ 18] 0x00007fe651e995cd /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05625293
[ 19] 0x00007fe651e911b1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05591473
[ 20] 0x00007fe651e913e9 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05592041
[ 21] 0x00007fe651e98dd6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623254
[ 22] 0x00007fe651e98ed6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623510
[ 23] 0x00007fe651fd258d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06907277
[ 24] 0x00007fe651fd5d05 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06921477
[ 25] 0x00007fe6521fcd51 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09178449
[ 26] 0x00007fe6522dd3f7 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10097655
[ 27] 0x00007fe6522dd645 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10098245
[ 28] 0x00007fe65b0010ef /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01110255 _ZN8Mfh_file20dispatch_file_commonEMS_FviPP11mxArray_tagiS2_EiS2_iS2_+00000207
[ 29] 0x00007fe65b0032a3 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01118883 _ZN8Mfh_file19dispatch_with_reuseEiPP11mxArray_tagiS2_+00000323
[ 30] 0x00007fe65241c94e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11405646
[ 31] 0x00007fe6521a7cb6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830134
[ 32] 0x00007fe6521a7e2c /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830508
[ 33] 0x00007fe65224806b /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09486443
[ 34] 0x00007fe652249118 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09490712
[ 35] 0x00007fe65b19e1f0 /data/matlab/mcr/v98/bin/glnxa64/libmwm_interpreter.so+01335792 _Z44inCallFcnWithTrapInDesiredWSAndPublishEventsiPP11mxArray_tagiS1_PKcbP15inWorkSpace_tag+00000080
[ 36] 0x00007fe65a6c39b5 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00735669 _ZN3iqm15BaseFEvalPlugin7executeEP15inWorkSpace_tag+00001253
[ 37] 0x00007fe65b5563a9 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00951209
[ 38] 0x00007fe65a6b3130 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00667952
[ 39] 0x00007fe65a696c39 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00551993
[ 40] 0x00007fe65a69787b /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00555131
[ 41] 0x00007fe65b53b018 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00839704
[ 42] 0x00007fe65b53b632 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00841266
[ 43] 0x00007fe65b53bea4 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00843428
[ 44] 0x00007fe669913a02 /data/matlab/mcr/v98/bin/glnxa64/libmwboost_thread.so.1.70.0+00064002
[ 45] 0x00007fe6fefbee65 /lib64/libpthread.so.0+00032357
[ 46] 0x00007fe6fe8cd88d /lib64/libc.so.6+01042573 clone+00000109
** This crash report has been saved to disk as /root/matlab_crash_dump.36940-1 **
MATLAB is exiting because of fatal error
请解答，谢谢！！！！ 版本为R2020a，错误信息如下：
——————————————————————————–
Segmentation violation detected at 五 8月 11 11:25:11 2023 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : true
GNU C Library : 2.17 stable
Graphics Driver : Unknown software
Graphics card 1 : 0x102b ( 0x102b ) 0x522 Version 0.0.0.0 (0-0-0)
Java Version : Java 1.8.0_131-b11 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : glnxa64
MATLAB Entitlement ID : Unknown
MATLAB Root : /data/matlab/mcr/v98
MATLAB Version : 9.8.0.1873465 (R2020a) Update 8
OpenGL : software
Operating System : Linux 3.10.0-1062.el7.x86_64 #1 SMP Wed Aug 7 18:08:02 UTC 2019 x86_64
Process ID : 36940
Processor ID : x86 Family 6 Model 85 Stepping 4, GenuineIntel
Session Key : 9d1307a4-b42b-4d7f-b103-6b4d94474099
Static TLS mitigation : Disabled: Unnecessary
Window System : No active display
Fault Count: 1
Abnormal termination:
Segmentation violation
Register State (from fault):
RAX = 00007fe194190fb0 RBX = 00007fe1739ffa54
RCX = 0000000000000001 RDX = 00007fe172754260
RSP = 00007fe316017d98 RBP = 00007fe316017e10
RSI = 0000000000000001 RDI = 00007fe1941909c0
R8 = 00007fe173a01460 R9 = 0000000000000008
R10 = 00007fe67a60a5d8 R11 = 00007fe196663900
R12 = 00007fe172754260 R13 = 00007fe173a01460
R14 = 0000000000000001 R15 = 00007fe173a01390
RIP = 00007fe194189750 EFL = 0000000000010206
CS = 0033 FS = 0000 GS = 0000
Stack Trace (from fault):
[ 0] 0x00007fe194189750 <unknown-module>+00000000
[ 1] 0x00007fe640cd0d48 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04042056
[ 2] 0x00007fe640cd3688 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04052616
[ 3] 0x00007fe640cdb6c2 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04085442
[ 4] 0x00007fe640cd0279 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+04039289
[ 5] 0x00007fe640e4c45f /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05596255
[ 6] 0x00007fe640e46577 /data/matlab/mcr/v98/bin/glnxa64/libmwmcos_impl.so+05571959
[ 7] 0x00007fe65af7f3f6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00578550
[ 8] 0x00007fe65af7f6d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+00579281 _ZN18Mfh_MATLAB_fn_impl8dispatchEiPSt10unique_ptrI11mxArray_tagN6matrix6detail17mxDestroy_deleterEEiPPS1_+00000033
[ 9] 0x00007fe6522ed52d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10163501
[ 10] 0x00007fe6522f2066 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10182758
[ 11] 0x00007fe6523fe84e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11282510
[ 12] 0x00007fe6523f18d1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229393
[ 13] 0x00007fe6523f1988 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11229576
[ 14] 0x00007fe65235f644 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10630724
[ 15] 0x00007fe652386a8d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10791565
[ 16] 0x00007fe651e9a667 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05629543
[ 17] 0x00007fe651e9c8f4 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05638388
[ 18] 0x00007fe651e995cd /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05625293
[ 19] 0x00007fe651e911b1 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05591473
[ 20] 0x00007fe651e913e9 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05592041
[ 21] 0x00007fe651e98dd6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623254
[ 22] 0x00007fe651e98ed6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+05623510
[ 23] 0x00007fe651fd258d /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06907277
[ 24] 0x00007fe651fd5d05 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+06921477
[ 25] 0x00007fe6521fcd51 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09178449
[ 26] 0x00007fe6522dd3f7 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10097655
[ 27] 0x00007fe6522dd645 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+10098245
[ 28] 0x00007fe65b0010ef /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01110255 _ZN8Mfh_file20dispatch_file_commonEMS_FviPP11mxArray_tagiS2_EiS2_iS2_+00000207
[ 29] 0x00007fe65b0032a3 /data/matlab/mcr/v98/bin/glnxa64/libmwm_dispatcher.so+01118883 _ZN8Mfh_file19dispatch_with_reuseEiPP11mxArray_tagiS2_+00000323
[ 30] 0x00007fe65241c94e /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+11405646
[ 31] 0x00007fe6521a7cb6 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830134
[ 32] 0x00007fe6521a7e2c /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+08830508
[ 33] 0x00007fe65224806b /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09486443
[ 34] 0x00007fe652249118 /data/matlab/mcr/v98/bin/glnxa64/libmwm_lxe.so+09490712
[ 35] 0x00007fe65b19e1f0 /data/matlab/mcr/v98/bin/glnxa64/libmwm_interpreter.so+01335792 _Z44inCallFcnWithTrapInDesiredWSAndPublishEventsiPP11mxArray_tagiS1_PKcbP15inWorkSpace_tag+00000080
[ 36] 0x00007fe65a6c39b5 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00735669 _ZN3iqm15BaseFEvalPlugin7executeEP15inWorkSpace_tag+00001253
[ 37] 0x00007fe65b5563a9 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00951209
[ 38] 0x00007fe65a6b3130 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00667952
[ 39] 0x00007fe65a696c39 /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00551993
[ 40] 0x00007fe65a69787b /data/matlab/mcr/v98/bin/glnxa64/libmwiqm.so+00555131
[ 41] 0x00007fe65b53b018 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00839704
[ 42] 0x00007fe65b53b632 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00841266
[ 43] 0x00007fe65b53bea4 /data/matlab/mcr/v98/bin/glnxa64/libmwmcr.so+00843428
[ 44] 0x00007fe669913a02 /data/matlab/mcr/v98/bin/glnxa64/libmwboost_thread.so.1.70.0+00064002
[ 45] 0x00007fe6fefbee65 /lib64/libpthread.so.0+00032357
[ 46] 0x00007fe6fe8cd88d /lib64/libc.so.6+01042573 clone+00000109
** This crash report has been saved to disk as /root/matlab_crash_dump.36940-1 **
MATLAB is exiting because of fatal error
请解答，谢谢！！！！ segmentation violation detected MATLAB Answers — New Questions
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# endif
/* Includes_END */
Again, this is just following the guide I linked earlier. This S-Function also successfully builds and compiles into a Mex file, but when I try to run this model in Simulink using Monitor and Tune, I am slammed with dozens of error messages. Most the error messages however are basically identical, they either look like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:137:16: error: unknown type name ‘uint8_t’; did you mean ‘uint8_T’?
int analogRead(uint8_t pin);
^~~~~~~
uint8_T
Or like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:170:30: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘digital_pin_to_bit_mask_PGM’
extern const uint8_t PROGMEM digital_pin_to_bit_mask_PGM[];
^~~~~~~~~~~~~~~~~~~~~~~~~~~
At first I thought this was because I was trying to call C++ functions from a C source file. The workaround to this seems to be to rename the wrapper function file to have .cpp file extension, and insert ‘extern "C"’ before the two function declarations in the file. However after trying this fix, I just get this error message after running in Simulink:
Unable to find S-function module ‘example_wrapper.c’. S-function modules must exist as either source files or pre-compiled object files on the MATLAB path.
This is an error I have not seen other users come into and I am a bit lost where to go from here. I have tried setting the target language to C++ in the S-Function builder instead of inherit from model, but when trying this am I hit with the dozens of same error messages as before. Is there a better way to integrate C++ and Arduino libraries into my model than the S-Function builder? Any help is much appreciated.Hi all,
I am currently attempting to integrate Arduino C++ code into my Simulink model using the S-Function builder. I am starting simple by essentially following this tutorial line for line to create a custom function that writes HIGH to a pin of choice on the Arduino board. I had a decent amount of success at first following the tutorial. I am able to compile functions written into C to Matlab executables, and even integrate them into my model to do things like basic things like double an input signal without any errors. However, I have issues as soon as I try to call functions from the standard Arduino library. Here is my header for the S-Function Builder:
/* Includes_BEGIN */
#include <math.h>
# ifndef MATLAB_MEX_FILE
# include <Arduino.h>
# endif
/* Includes_END */
Again, this is just following the guide I linked earlier. This S-Function also successfully builds and compiles into a Mex file, but when I try to run this model in Simulink using Monitor and Tune, I am slammed with dozens of error messages. Most the error messages however are basically identical, they either look like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:137:16: error: unknown type name ‘uint8_t’; did you mean ‘uint8_T’?
int analogRead(uint8_t pin);
^~~~~~~
uint8_T
Or like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:170:30: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘digital_pin_to_bit_mask_PGM’
extern const uint8_t PROGMEM digital_pin_to_bit_mask_PGM[];
^~~~~~~~~~~~~~~~~~~~~~~~~~~
At first I thought this was because I was trying to call C++ functions from a C source file. The workaround to this seems to be to rename the wrapper function file to have .cpp file extension, and insert ‘extern "C"’ before the two function declarations in the file. However after trying this fix, I just get this error message after running in Simulink:
Unable to find S-function module ‘example_wrapper.c’. S-function modules must exist as either source files or pre-compiled object files on the MATLAB path.
This is an error I have not seen other users come into and I am a bit lost where to go from here. I have tried setting the target language to C++ in the S-Function builder instead of inherit from model, but when trying this am I hit with the dozens of same error messages as before. Is there a better way to integrate C++ and Arduino libraries into my model than the S-Function builder? Any help is much appreciated. Hi all,
I am currently attempting to integrate Arduino C++ code into my Simulink model using the S-Function builder. I am starting simple by essentially following this tutorial line for line to create a custom function that writes HIGH to a pin of choice on the Arduino board. I had a decent amount of success at first following the tutorial. I am able to compile functions written into C to Matlab executables, and even integrate them into my model to do things like basic things like double an input signal without any errors. However, I have issues as soon as I try to call functions from the standard Arduino library. Here is my header for the S-Function Builder:
/* Includes_BEGIN */
#include <math.h>
# ifndef MATLAB_MEX_FILE
# include <Arduino.h>
# endif
/* Includes_END */
Again, this is just following the guide I linked earlier. This S-Function also successfully builds and compiles into a Mex file, but when I try to run this model in Simulink using Monitor and Tune, I am slammed with dozens of error messages. Most the error messages however are basically identical, they either look like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:137:16: error: unknown type name ‘uint8_t’; did you mean ‘uint8_T’?
int analogRead(uint8_t pin);
^~~~~~~
uint8_T
Or like this:
C:/ProgramData/MATLAB/SupportPackages/R2023b/aIDE/hardware/arduino/avr/cores/arduino/Arduino.h:170:30: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘digital_pin_to_bit_mask_PGM’
extern const uint8_t PROGMEM digital_pin_to_bit_mask_PGM[];
^~~~~~~~~~~~~~~~~~~~~~~~~~~
At first I thought this was because I was trying to call C++ functions from a C source file. The workaround to this seems to be to rename the wrapper function file to have .cpp file extension, and insert ‘extern "C"’ before the two function declarations in the file. However after trying this fix, I just get this error message after running in Simulink:
Unable to find S-function module ‘example_wrapper.c’. S-function modules must exist as either source files or pre-compiled object files on the MATLAB path.
This is an error I have not seen other users come into and I am a bit lost where to go from here. I have tried setting the target language to C++ in the S-Function builder instead of inherit from model, but when trying this am I hit with the dozens of same error messages as before. Is there a better way to integrate C++ and Arduino libraries into my model than the S-Function builder? Any help is much appreciated. arduino, s-function, simulink, embedded coder MATLAB Answers — New Questions
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I started to use Matlab 2023b just now, then I can not find the "language setting" (change English/Chinese), I remember it was in "General" setting in older matlab versionI started to use Matlab 2023b just now, then I can not find the "language setting" (change English/Chinese), I remember it was in "General" setting in older matlab version I started to use Matlab 2023b just now, then I can not find the "language setting" (change English/Chinese), I remember it was in "General" setting in older matlab version language, configuration, preference, setting MATLAB Answers — New Questions
How can I call a matlab function that takes no arguments using matlab engine C++ API?
I have a matlab function (myFunc) that takes no arguments and returns a matlab string. I want to call this function using the matlab engine C++ API. In all examples I have found in documentation, the functions used receive at least one argument (like sqrt o gcd). I have tried declaring an empty variable and using it like this:
const matlab::data::Array arg;
auto res = matlabPtr->feval(u"myFunc", arg);
The code compiles OK, but when I run it I get the exception error "Default constructed arguments are not allowed"
Is there a way to call this kind of function?
Thank you for your helpI have a matlab function (myFunc) that takes no arguments and returns a matlab string. I want to call this function using the matlab engine C++ API. In all examples I have found in documentation, the functions used receive at least one argument (like sqrt o gcd). I have tried declaring an empty variable and using it like this:
const matlab::data::Array arg;
auto res = matlabPtr->feval(u"myFunc", arg);
The code compiles OK, but when I run it I get the exception error "Default constructed arguments are not allowed"
Is there a way to call this kind of function?
Thank you for your help I have a matlab function (myFunc) that takes no arguments and returns a matlab string. I want to call this function using the matlab engine C++ API. In all examples I have found in documentation, the functions used receive at least one argument (like sqrt o gcd). I have tried declaring an empty variable and using it like this:
const matlab::data::Array arg;
auto res = matlabPtr->feval(u"myFunc", arg);
The code compiles OK, but when I run it I get the exception error "Default constructed arguments are not allowed"
Is there a way to call this kind of function?
Thank you for your help matlab engine, c++ api, feval MATLAB Answers — New Questions
How to fit kinetic model to estimate kinetic parameter from experimental data
I am getting errors in the output. Please help be solve the problem. I have attached the Excel file of the experimental data.
Thank you.
%Fermentation data
Xdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’e2:e13′);
Gdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’b2:b13′);
Bdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’c2:c13′);
Edata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’d2:d13′);
% Group all data into yariable y
yinv =[Xdata’; Gdata’; Bdata’; Edata’];
%Data for time
timeex = readmatrix(‘batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’a2:a13′);
%Set ODE solver
% Initial cell biomass concentration (Initial condition)
y0=[1.04 0.78 0.00 0.00];
%Fermentation time
tspan = linspace(0,72);
%Set optimization problem
%Let b = matrix of paramters to be determined
% b= [um ks k1 K1G K1B k2 K2G YXG m k3]
b = optimvar(‘b’,10,"LowerBound",0,"UpperBound",72);
%Set functions for ODE solver for solving ODE
function solferment = toODE(b,tspan,y0)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
solferment = deval(sol,tspan);
end
%Convert function for ODE solving to optimization expression
%To use RtoODE in an objective function, convert the function to an
%optimization expression by using fcn2optimexpr.
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
%Express the objective function as the sum of squared differences between
%the ODE solution and the solution with true parameters.
SSE = sum(sum((myfcn-yinv).^2));
%Create an optimization problem with the objective function SSE.
prob = optimproblem ("Description","Fit ODE parameters",’ObjectiveSense’,’min’);
%Objective function (to be minimized)
prob.Objective = SSE;
%Show structure of problem
show(prob)
%Solve Problem
%To find the best-fitting parameters x, give an initial guess
%x0 for the solver and call solve.
% Set initial guesses of parameters
initialGuess.b = [0.18 1.0 0.61 0.18 5.85 3.20 16.25 0.11 3.40 3.02];
%Solve optimization problem
[sol,optval] = solve(prob,initialGuess);
%Extract the results
%Fitted Parameters
bfinal =sol.b;
%Sum of square Error
SSEfinal = optval;
%Plot the simulated data and experimental data
%Call ODE to solve an equation using Final Fitted Parameters (bfinal)
solysim = ode45(@(t,y)batchferment(t,y,bfinal),tspan,y0);
%Evaluate the simulated results at specified tspan
ysim = deval(solysim,tspan);
%Plot graphs
figure;
plot(timeex,Xdata,’*r’,tspan,ysim(1,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘X (g/L)’)
figure;
plot(timeex,Gdata’,’*r’,tspan,ysim(2,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘G (g/L)’)
figure;
plot(timeex,Bdata’,’*r’,tspan,ysim(3,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘B (g/L)’)
figure;
plot(timeex,Edata’,’*r’,tspan,ysim(4,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘E (g/L)’)
%Equations for Batch
%y(1) = X = Biomass Concentration (g/l)
%y(2) = G = Glucose Concentration (g/l)
%y(3) = B = Cellobiose Concentration (g/L)
%y(4) = E = Ethanol Concentration (g/l)
function dydt = batchferment(t,y,b)
y(1) = X;
y(2) = G;
y(3) = B;
y(4) = E;
%%%Growth equations
%dx/dt = (um*X*G)/(KG+G)
u = (b(1)*y(1)*y(2))/(b(2)+y(2));
%u = (b(1)*X*G)/(b(2)+G);
%parameters
b(1) = um (1/h);
b(2) = ks (g/L);
%%%Cellobiose equations
C = b(11)-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04));
r1 = (b(3)*C)/(1+(y(2)/b(4))+(y(3)/b(5)));
r2 = (b(6)*y(3))/(1+(y(2)/b(7)));
b(3) = k1;
b(4) = K1G;
b(5) = K1B;
b(6) = k2;
b(7) = K2G;
%C = Cellulose concentration (g/l)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%r1 = (k1*C)/(1+(G/K1G)+(B/K1B))
%r2 = (k2*B)/(1+(G/K2G)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%C = 83.65-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04))
%%% Glucose equations
rG = ((1/b(8))*(dx/dt))-(b(9)*y(1));
b(8) = YXG;
b(9) = m;
%rG = ((1/YXG)*(dX/dt))-(m*X)
%%% Ethanol Concentration
Et = k3*(u*X)*(1/YXG);
b(10) = k3;
%Material balance equations
dXdt = u*X;
dGdt = (r2/0.95)-rG;
dBdt = (r1/0.947)-r2;
dEdt = Et;
dydt = [dXdt;dGdt;dBdt;dEdt];
end
This is the output after running:
>> Batch1
Unrecognized function or variable ‘X’.
Error in Batch1>batchferment (line 110)
y(1) = X;
Error in Batch1>@(t,y)batchferment(t,y,b) (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in odearguments (line 92)
f0 = ode(t0,y0,args{:}); % ODE15I sets args{1} to yp0.
Error in ode45 (line 104)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in Batch1>toODE (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in optim.problemdef.fcn2optimexpr
Error in optim.problemdef.fcn2optimexpr
Error in fcn2optimexpr
Error in Batch1 (line 38)
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
Caused by:
Function evaluation failed while attempting to determine output size. The function might contain an error, or might not be well-defined at
the automatically-chosen point. To specify output size without function evaluation, use ‘OutputSize’.
>>I am getting errors in the output. Please help be solve the problem. I have attached the Excel file of the experimental data.
Thank you.
%Fermentation data
Xdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’e2:e13′);
Gdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’b2:b13′);
Bdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’c2:c13′);
Edata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’d2:d13′);
% Group all data into yariable y
yinv =[Xdata’; Gdata’; Bdata’; Edata’];
%Data for time
timeex = readmatrix(‘batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’a2:a13′);
%Set ODE solver
% Initial cell biomass concentration (Initial condition)
y0=[1.04 0.78 0.00 0.00];
%Fermentation time
tspan = linspace(0,72);
%Set optimization problem
%Let b = matrix of paramters to be determined
% b= [um ks k1 K1G K1B k2 K2G YXG m k3]
b = optimvar(‘b’,10,"LowerBound",0,"UpperBound",72);
%Set functions for ODE solver for solving ODE
function solferment = toODE(b,tspan,y0)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
solferment = deval(sol,tspan);
end
%Convert function for ODE solving to optimization expression
%To use RtoODE in an objective function, convert the function to an
%optimization expression by using fcn2optimexpr.
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
%Express the objective function as the sum of squared differences between
%the ODE solution and the solution with true parameters.
SSE = sum(sum((myfcn-yinv).^2));
%Create an optimization problem with the objective function SSE.
prob = optimproblem ("Description","Fit ODE parameters",’ObjectiveSense’,’min’);
%Objective function (to be minimized)
prob.Objective = SSE;
%Show structure of problem
show(prob)
%Solve Problem
%To find the best-fitting parameters x, give an initial guess
%x0 for the solver and call solve.
% Set initial guesses of parameters
initialGuess.b = [0.18 1.0 0.61 0.18 5.85 3.20 16.25 0.11 3.40 3.02];
%Solve optimization problem
[sol,optval] = solve(prob,initialGuess);
%Extract the results
%Fitted Parameters
bfinal =sol.b;
%Sum of square Error
SSEfinal = optval;
%Plot the simulated data and experimental data
%Call ODE to solve an equation using Final Fitted Parameters (bfinal)
solysim = ode45(@(t,y)batchferment(t,y,bfinal),tspan,y0);
%Evaluate the simulated results at specified tspan
ysim = deval(solysim,tspan);
%Plot graphs
figure;
plot(timeex,Xdata,’*r’,tspan,ysim(1,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘X (g/L)’)
figure;
plot(timeex,Gdata’,’*r’,tspan,ysim(2,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘G (g/L)’)
figure;
plot(timeex,Bdata’,’*r’,tspan,ysim(3,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘B (g/L)’)
figure;
plot(timeex,Edata’,’*r’,tspan,ysim(4,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘E (g/L)’)
%Equations for Batch
%y(1) = X = Biomass Concentration (g/l)
%y(2) = G = Glucose Concentration (g/l)
%y(3) = B = Cellobiose Concentration (g/L)
%y(4) = E = Ethanol Concentration (g/l)
function dydt = batchferment(t,y,b)
y(1) = X;
y(2) = G;
y(3) = B;
y(4) = E;
%%%Growth equations
%dx/dt = (um*X*G)/(KG+G)
u = (b(1)*y(1)*y(2))/(b(2)+y(2));
%u = (b(1)*X*G)/(b(2)+G);
%parameters
b(1) = um (1/h);
b(2) = ks (g/L);
%%%Cellobiose equations
C = b(11)-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04));
r1 = (b(3)*C)/(1+(y(2)/b(4))+(y(3)/b(5)));
r2 = (b(6)*y(3))/(1+(y(2)/b(7)));
b(3) = k1;
b(4) = K1G;
b(5) = K1B;
b(6) = k2;
b(7) = K2G;
%C = Cellulose concentration (g/l)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%r1 = (k1*C)/(1+(G/K1G)+(B/K1B))
%r2 = (k2*B)/(1+(G/K2G)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%C = 83.65-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04))
%%% Glucose equations
rG = ((1/b(8))*(dx/dt))-(b(9)*y(1));
b(8) = YXG;
b(9) = m;
%rG = ((1/YXG)*(dX/dt))-(m*X)
%%% Ethanol Concentration
Et = k3*(u*X)*(1/YXG);
b(10) = k3;
%Material balance equations
dXdt = u*X;
dGdt = (r2/0.95)-rG;
dBdt = (r1/0.947)-r2;
dEdt = Et;
dydt = [dXdt;dGdt;dBdt;dEdt];
end
This is the output after running:
>> Batch1
Unrecognized function or variable ‘X’.
Error in Batch1>batchferment (line 110)
y(1) = X;
Error in Batch1>@(t,y)batchferment(t,y,b) (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in odearguments (line 92)
f0 = ode(t0,y0,args{:}); % ODE15I sets args{1} to yp0.
Error in ode45 (line 104)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in Batch1>toODE (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in optim.problemdef.fcn2optimexpr
Error in optim.problemdef.fcn2optimexpr
Error in fcn2optimexpr
Error in Batch1 (line 38)
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
Caused by:
Function evaluation failed while attempting to determine output size. The function might contain an error, or might not be well-defined at
the automatically-chosen point. To specify output size without function evaluation, use ‘OutputSize’.
>> I am getting errors in the output. Please help be solve the problem. I have attached the Excel file of the experimental data.
Thank you.
%Fermentation data
Xdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’e2:e13′);
Gdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’b2:b13′);
Bdata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’c2:c13′);
Edata = readmatrix(‘Batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’d2:d13′);
% Group all data into yariable y
yinv =[Xdata’; Gdata’; Bdata’; Edata’];
%Data for time
timeex = readmatrix(‘batch1.xlsx’,’Sheet’,’sheet1′,’Range’,’a2:a13′);
%Set ODE solver
% Initial cell biomass concentration (Initial condition)
y0=[1.04 0.78 0.00 0.00];
%Fermentation time
tspan = linspace(0,72);
%Set optimization problem
%Let b = matrix of paramters to be determined
% b= [um ks k1 K1G K1B k2 K2G YXG m k3]
b = optimvar(‘b’,10,"LowerBound",0,"UpperBound",72);
%Set functions for ODE solver for solving ODE
function solferment = toODE(b,tspan,y0)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
solferment = deval(sol,tspan);
end
%Convert function for ODE solving to optimization expression
%To use RtoODE in an objective function, convert the function to an
%optimization expression by using fcn2optimexpr.
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
%Express the objective function as the sum of squared differences between
%the ODE solution and the solution with true parameters.
SSE = sum(sum((myfcn-yinv).^2));
%Create an optimization problem with the objective function SSE.
prob = optimproblem ("Description","Fit ODE parameters",’ObjectiveSense’,’min’);
%Objective function (to be minimized)
prob.Objective = SSE;
%Show structure of problem
show(prob)
%Solve Problem
%To find the best-fitting parameters x, give an initial guess
%x0 for the solver and call solve.
% Set initial guesses of parameters
initialGuess.b = [0.18 1.0 0.61 0.18 5.85 3.20 16.25 0.11 3.40 3.02];
%Solve optimization problem
[sol,optval] = solve(prob,initialGuess);
%Extract the results
%Fitted Parameters
bfinal =sol.b;
%Sum of square Error
SSEfinal = optval;
%Plot the simulated data and experimental data
%Call ODE to solve an equation using Final Fitted Parameters (bfinal)
solysim = ode45(@(t,y)batchferment(t,y,bfinal),tspan,y0);
%Evaluate the simulated results at specified tspan
ysim = deval(solysim,tspan);
%Plot graphs
figure;
plot(timeex,Xdata,’*r’,tspan,ysim(1,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘X (g/L)’)
figure;
plot(timeex,Gdata’,’*r’,tspan,ysim(2,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘G (g/L)’)
figure;
plot(timeex,Bdata’,’*r’,tspan,ysim(3,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘B (g/L)’)
figure;
plot(timeex,Edata’,’*r’,tspan,ysim(4,:),’-b’)
legend(‘exp’,’sim’)
xlabel(‘Time (h)’)
ylabel(‘E (g/L)’)
%Equations for Batch
%y(1) = X = Biomass Concentration (g/l)
%y(2) = G = Glucose Concentration (g/l)
%y(3) = B = Cellobiose Concentration (g/L)
%y(4) = E = Ethanol Concentration (g/l)
function dydt = batchferment(t,y,b)
y(1) = X;
y(2) = G;
y(3) = B;
y(4) = E;
%%%Growth equations
%dx/dt = (um*X*G)/(KG+G)
u = (b(1)*y(1)*y(2))/(b(2)+y(2));
%u = (b(1)*X*G)/(b(2)+G);
%parameters
b(1) = um (1/h);
b(2) = ks (g/L);
%%%Cellobiose equations
C = b(11)-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04));
r1 = (b(3)*C)/(1+(y(2)/b(4))+(y(3)/b(5)));
r2 = (b(6)*y(3))/(1+(y(2)/b(7)));
b(3) = k1;
b(4) = K1G;
b(5) = K1B;
b(6) = k2;
b(7) = K2G;
%C = Cellulose concentration (g/l)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%r1 = (k1*C)/(1+(G/K1G)+(B/K1B))
%r2 = (k2*B)/(1+(G/K2G)
%C = C0-(0.9*G)-(0.947*B)-(0.9*E/0.511)-(1.137*(X-X0))
%C = 83.65-(0.9*y(2))-(0.947*y(3))-(0.9*y(4)/0.511)-(1.137*(y(1)-1.04))
%%% Glucose equations
rG = ((1/b(8))*(dx/dt))-(b(9)*y(1));
b(8) = YXG;
b(9) = m;
%rG = ((1/YXG)*(dX/dt))-(m*X)
%%% Ethanol Concentration
Et = k3*(u*X)*(1/YXG);
b(10) = k3;
%Material balance equations
dXdt = u*X;
dGdt = (r2/0.95)-rG;
dBdt = (r1/0.947)-r2;
dEdt = Et;
dydt = [dXdt;dGdt;dBdt;dEdt];
end
This is the output after running:
>> Batch1
Unrecognized function or variable ‘X’.
Error in Batch1>batchferment (line 110)
y(1) = X;
Error in Batch1>@(t,y)batchferment(t,y,b) (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in odearguments (line 92)
f0 = ode(t0,y0,args{:}); % ODE15I sets args{1} to yp0.
Error in ode45 (line 104)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in Batch1>toODE (line 30)
sol = ode45(@(t,y)batchferment(t,y,b),tspan,y0);
Error in optim.problemdef.fcn2optimexpr
Error in optim.problemdef.fcn2optimexpr
Error in fcn2optimexpr
Error in Batch1 (line 38)
myfcn = fcn2optimexpr(@toODE,b,timeex,y0);
Caused by:
Function evaluation failed while attempting to determine output size. The function might contain an error, or might not be well-defined at
the automatically-chosen point. To specify output size without function evaluation, use ‘OutputSize’.
>> data fitting, parameter estimation, optimization, isqnonlin method MATLAB Answers — New Questions
How to set the font of the Diagnostic Viewer in Simulink?
Hi All,
I met some problem in the Diagnostic Viewer in Simulink, the font of the text has became extremely which I can hardly see. Is there anybody know how to fix this problem?
Regards,
KeranHi All,
I met some problem in the Diagnostic Viewer in Simulink, the font of the text has became extremely which I can hardly see. Is there anybody know how to fix this problem?
Regards,
Keran Hi All,
I met some problem in the Diagnostic Viewer in Simulink, the font of the text has became extremely which I can hardly see. Is there anybody know how to fix this problem?
Regards,
Keran simulink, font MATLAB Answers — New Questions
Where to find which toolbox a MATLAB example belongs to, or which toolboxes I need to run the example?
I am currently working through a MathWorks example using the "fit" function:
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But the example documentation does not specify which toolbox this "fit" function belongs to. Where can I find which toolboxes I need for running a MATLAB example?I am currently working through a MathWorks example using the "fit" function:
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How to implement custom function in Flight Log Analyzer
I am trying to create a custom function within the Flight Log Analyzer app in the UAV Toolbox, and I am getting errors no matter what I try. I am simply trying to plot a Fast-Fourier Transform of Accel and Gyro data. Below is an example of a function I wrote that works on its own, but I can not get it to work within the app. I am wondering what the function sturcture is that the app is looking for. I see what is on the pop up window when you go to create the function, but even when I try creating more arguments for the function I get index mismatch errors. An example of a function that can be passed into the app would be very helpful.
(in this example, "signalData" would be ACC_0 from the workspace file)
function afft = ArdupilotFFT(singalData)
Fs = 2000;
L = length(singalData);
L2 = floor(L/2);
f0 = Fs/L*(0:L2-1);
X0 = fft(singalData(:,5));
X0 = 10*log10(abs(X0(1:L2)));
Y0 = fft(singalData(:,6));
Y0 = 10*log10(abs(Y0(1:L2)));
Z0 = fft(singalData(:,7));
Z0 = 10*log10(abs(Z0(1:L2)));
figure(‘Name’,’FFT’);
%subplot(1,3,1);
semilogx(f0,X0,f0,Y0,f0,Z0)
grid on; xlabel(‘Frequency (Hz)’); xlim([1,1000]);
endI am trying to create a custom function within the Flight Log Analyzer app in the UAV Toolbox, and I am getting errors no matter what I try. I am simply trying to plot a Fast-Fourier Transform of Accel and Gyro data. Below is an example of a function I wrote that works on its own, but I can not get it to work within the app. I am wondering what the function sturcture is that the app is looking for. I see what is on the pop up window when you go to create the function, but even when I try creating more arguments for the function I get index mismatch errors. An example of a function that can be passed into the app would be very helpful.
(in this example, "signalData" would be ACC_0 from the workspace file)
function afft = ArdupilotFFT(singalData)
Fs = 2000;
L = length(singalData);
L2 = floor(L/2);
f0 = Fs/L*(0:L2-1);
X0 = fft(singalData(:,5));
X0 = 10*log10(abs(X0(1:L2)));
Y0 = fft(singalData(:,6));
Y0 = 10*log10(abs(Y0(1:L2)));
Z0 = fft(singalData(:,7));
Z0 = 10*log10(abs(Z0(1:L2)));
figure(‘Name’,’FFT’);
%subplot(1,3,1);
semilogx(f0,X0,f0,Y0,f0,Z0)
grid on; xlabel(‘Frequency (Hz)’); xlim([1,1000]);
end I am trying to create a custom function within the Flight Log Analyzer app in the UAV Toolbox, and I am getting errors no matter what I try. I am simply trying to plot a Fast-Fourier Transform of Accel and Gyro data. Below is an example of a function I wrote that works on its own, but I can not get it to work within the app. I am wondering what the function sturcture is that the app is looking for. I see what is on the pop up window when you go to create the function, but even when I try creating more arguments for the function I get index mismatch errors. An example of a function that can be passed into the app would be very helpful.
(in this example, "signalData" would be ACC_0 from the workspace file)
function afft = ArdupilotFFT(singalData)
Fs = 2000;
L = length(singalData);
L2 = floor(L/2);
f0 = Fs/L*(0:L2-1);
X0 = fft(singalData(:,5));
X0 = 10*log10(abs(X0(1:L2)));
Y0 = fft(singalData(:,6));
Y0 = 10*log10(abs(Y0(1:L2)));
Z0 = fft(singalData(:,7));
Z0 = 10*log10(abs(Z0(1:L2)));
figure(‘Name’,’FFT’);
%subplot(1,3,1);
semilogx(f0,X0,f0,Y0,f0,Z0)
grid on; xlabel(‘Frequency (Hz)’); xlim([1,1000]);
end uav, flightloganalyzer, fft, function MATLAB Answers — New Questions
How do I determine if a function is user-defined or belongs to a MATLAB toolbox?
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I encountered errors while running a Simulink Coder build, Rapid Accelerator build, or FMU Export using the Visual Studio C++ compiler on Windows. The errors were related to missing C Standard Library headers like "limits.h", "string.h", "stdlib.h", or "stddef.h":
fatal error C1083: Cannot open include file: ‘xxx.h’: No such file or directory
The same build works with the MinGW64 compiler. I verified that my Visual Studio setup is correct by successfully compiling a "Hello World" C program and creating a MEX file from MATLAB.I encountered errors while running a Simulink Coder build, Rapid Accelerator build, or FMU Export using the Visual Studio C++ compiler on Windows. The errors were related to missing C Standard Library headers like "limits.h", "string.h", "stdlib.h", or "stddef.h":
fatal error C1083: Cannot open include file: ‘xxx.h’: No such file or directory
The same build works with the MinGW64 compiler. I verified that my Visual Studio setup is correct by successfully compiling a "Hello World" C program and creating a MEX file from MATLAB. I encountered errors while running a Simulink Coder build, Rapid Accelerator build, or FMU Export using the Visual Studio C++ compiler on Windows. The errors were related to missing C Standard Library headers like "limits.h", "string.h", "stdlib.h", or "stddef.h":
fatal error C1083: Cannot open include file: ‘xxx.h’: No such file or directory
The same build works with the MinGW64 compiler. I verified that my Visual Studio setup is correct by successfully compiling a "Hello World" C program and creating a MEX file from MATLAB. raccel, rapid, accel, stdlib, cstdlib, cstd MATLAB Answers — New Questions
How to input a novel boundary condition for a coupled PDE system
Hi all,
I am trying to simulate a coupled PDE system with a non typical boundary conditions.
My coupled PDE system is as such.
The system is solved for two time periods
For first time period 0<tau_M1<tau
For s at the L.H.S we have
For s at the R.H.S we have
For species m at the L.H.S we have the to set m value to a constant
For species m at the R.H.S we have the no flux condition
For second time period tau<tau_M1<tau_2
For s at the L.H.S and R.H.S we have the same such as
For m we have
For the species we have the L.H.S boundary condition for timr period (tau<tau_M1<tau_2). It is this boundary condtiuon that I am seeking help with. How can I go about this.
function [c25, c2, vode] = pde1dm_PS_OCP_v1()
% Piecewise PDE Implementation
% Pulsing Simulation
% Constants Used in the Nernst Equation
n = 2; % No. of Electrons Involved
F = 96485.3329; % C/mol
R = 8.314; % J/(mol.K) or CV/(mol.K)
Temp = 273.15+20; % K
N = 21;
m = 0;
kappa=1;
eta=1;
gamma=1;
mu=1;
tau_M1=1;
tau_M2=2;
l=1;
D_r=1;
Area = 0.0011; % Geometric Area (cm^2)
m_layer = 4.13E-05; % m_layer (mol/cm^3)
D_m = 8.14E-08; % cm^2/s (De of polymer)
k = n*F*Area*l*m_layer;
% DIMENSIONLESS PARAMETERS
chi = linspace(0, 1, N);
tau = linspace(0, tau_M1, N); % Dimensionless Time
% FIRST POTENTIAL STEP
E0 = 0.22;
E_set = .450;
epsilon1 = ((n*F)/(R*Temp))*(E_set-E0); % Dimensionless Potential
c_M_ox = 1/(1+exp(-epsilon1)); % Mox BC
ic_arg_1 = {@(x)ones(size(N)) ; @(x)zeros(size(N))};
IC = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC = @(xl, yl, xr, yr, t)PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox);
sol1 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC, BC, chi, tau);
c1 = sol1(:, :, 1); % Substrate Conc.
c2 = sol1(:, :, 2); % Mox Conc.
% OPEN CIRCUIT POTENTIAL
tau2 = linspace(tau_M1, tau_M2, N); % Dimensionless Time
ic_arg_1 = {@(x)interp1(chi, sol1(N, :, 1), x) ; @(x)interp1(chi, sol1(N, :, 2), x)};
IC2 = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC2 = @(xl, yl, xr, yr, t, v)PDE_PSw_EK_BC_2(xl, yl, xr, yr, v);
ode_IC = @() ode_ICFun(tau_M1);
opts.vectorized=’on’;
% sol2 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
% IC2, BC2, chi, tau2);
[sol2, vode] = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC2, BC2, chi, tau2, @odeFunc, ode_IC, .99);
% Concentration Profiles c(i, j, k)(Solutions)
c14 = [c1; sol2(:, :, 1)]; % Substrate Conc.
c25 = [c2; sol2(:, :, 2)]; % Mox Conc.
c36 = 1-c25; % Mred Conc.
mox = abs(sol2(:, 1, 2));
mred = 1-mox;
E_PS = E_set.*ones(1,N);
for counter2 = 1:N
E_OCP(counter2) = E0 + (((R*Temp)/(n*F).*(log(mox(counter2,:)./mred(counter2,:)))));
end
E_array = [E_PS, E_OCP];
% This is the case finder function
% Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
function [cc, ff, ss] = PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r)
% S; Mox;
cc = [ D_r; 1];
ff = [ 1; 1].*DcDx;
S_kin = ((gamma/eta)*(kappa^2)*c(1)*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
M_kin = ((kappa^2).*c(1).*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
ss = [-S_kin; -M_kin];
end
function c0 = PDE_ND_PS_EK_IC(x, ic_arg_1)
% Substrate; Mox;
c0 = [ic_arg_1{1}(x).’; ic_arg_1{2}(x).’];
end
function [pl, ql, pr, qr] = PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox)
% ———————
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% ——-|————-
% pl pr
% Substrate; Mediator;
pl = [0 ; yl(2)-c_M_ox];
ql = [1 ; 0];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function [pl, ql, pr, qr] = PDE_PSw_EK_BC_2(xl, yl, xr, yr, t, v, vdot)
pl = [0 ; 0];
ql = [1 ; 1];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function f = odeFunc(x, t, c, DcDx, v, vdot)
f = ((1E-03./(v(1)*(1-v(1))))*(DcDx))-vdot(1);
end
function v0=ode_ICFun(tau_0)
v0 = ones(tau_0).*.9;
end
function myVideo = Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
% Initialize Video
G = figure(1);
myVideo = VideoWriter(sprintf(‘κ%.2f γ%.2f η%.2f µ%.2f’, kappa, gamma, eta, mu));
myVideo.FrameRate = 10; % can adjust this, 5 – 10 works well for me
myVideo.Quality = 100;
open(myVideo);
color = ‘red’;
u = uicontrol(G, ‘Style’,’slider’,’Position’,[0 40 10 360],…
‘Min’,0,’Max’,N*2,’Value’,0);
tspan1 = linspace(0, round(((tau_M1*(l^2))/D_m)), N);
tspan2 = linspace(round(((tau_M1*(l^2))/D_m)), round(((tau_M2*l^2)/D_m),2), N);
tspan = [tspan1,tspan2];
for ii = 2:(N*2)
% Plot Species Conc. in the Layer
subplot(2,1,1);
yyaxis left
plot(chi,c25(ii,:),chi,c36(ii,:), ‘LineWidth’, 2);
ylabel(‘M’)
ylim([0,1]);
yyaxis right
plot(chi, c14(ii,:), ‘LineWidth’, 2);
ylabel(‘S’)
ylim([0,1]);
xlabel(‘chi’);
legend(‘M_{ox}’,’M_{red}’, ‘S’);
title(‘Normalized Concentration’);
subplot(2,1,2);
addpoints(animatedline(tspan,E_array,’marker’, ‘.’, ‘markersize’, 6, ‘color’, color,…
‘linestyle’, ‘–‘, ‘MaximumNumPoints’, 1),tspan(ii),E_array(ii));
ylim([0,0.5]);
xlim([0, tspan(end)]);
hold on;
title([‘Potential = ‘, num2str(E_array(ii))]);
% text(8, 8,{”,”})
drawnow
xlabel(‘t / s’); ylabel(‘E / V’);
u.Value = ii;
uicontrol(‘Style’,’Edit’,’Position’,[0,00,40,40], …
‘String’,num2str(tspan(ii),3));
pause(0.001)
M = getframe(G);
writeVideo(myVideo, M);
end
end
endHi all,
I am trying to simulate a coupled PDE system with a non typical boundary conditions.
My coupled PDE system is as such.
The system is solved for two time periods
For first time period 0<tau_M1<tau
For s at the L.H.S we have
For s at the R.H.S we have
For species m at the L.H.S we have the to set m value to a constant
For species m at the R.H.S we have the no flux condition
For second time period tau<tau_M1<tau_2
For s at the L.H.S and R.H.S we have the same such as
For m we have
For the species we have the L.H.S boundary condition for timr period (tau<tau_M1<tau_2). It is this boundary condtiuon that I am seeking help with. How can I go about this.
function [c25, c2, vode] = pde1dm_PS_OCP_v1()
% Piecewise PDE Implementation
% Pulsing Simulation
% Constants Used in the Nernst Equation
n = 2; % No. of Electrons Involved
F = 96485.3329; % C/mol
R = 8.314; % J/(mol.K) or CV/(mol.K)
Temp = 273.15+20; % K
N = 21;
m = 0;
kappa=1;
eta=1;
gamma=1;
mu=1;
tau_M1=1;
tau_M2=2;
l=1;
D_r=1;
Area = 0.0011; % Geometric Area (cm^2)
m_layer = 4.13E-05; % m_layer (mol/cm^3)
D_m = 8.14E-08; % cm^2/s (De of polymer)
k = n*F*Area*l*m_layer;
% DIMENSIONLESS PARAMETERS
chi = linspace(0, 1, N);
tau = linspace(0, tau_M1, N); % Dimensionless Time
% FIRST POTENTIAL STEP
E0 = 0.22;
E_set = .450;
epsilon1 = ((n*F)/(R*Temp))*(E_set-E0); % Dimensionless Potential
c_M_ox = 1/(1+exp(-epsilon1)); % Mox BC
ic_arg_1 = {@(x)ones(size(N)) ; @(x)zeros(size(N))};
IC = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC = @(xl, yl, xr, yr, t)PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox);
sol1 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC, BC, chi, tau);
c1 = sol1(:, :, 1); % Substrate Conc.
c2 = sol1(:, :, 2); % Mox Conc.
% OPEN CIRCUIT POTENTIAL
tau2 = linspace(tau_M1, tau_M2, N); % Dimensionless Time
ic_arg_1 = {@(x)interp1(chi, sol1(N, :, 1), x) ; @(x)interp1(chi, sol1(N, :, 2), x)};
IC2 = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC2 = @(xl, yl, xr, yr, t, v)PDE_PSw_EK_BC_2(xl, yl, xr, yr, v);
ode_IC = @() ode_ICFun(tau_M1);
opts.vectorized=’on’;
% sol2 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
% IC2, BC2, chi, tau2);
[sol2, vode] = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC2, BC2, chi, tau2, @odeFunc, ode_IC, .99);
% Concentration Profiles c(i, j, k)(Solutions)
c14 = [c1; sol2(:, :, 1)]; % Substrate Conc.
c25 = [c2; sol2(:, :, 2)]; % Mox Conc.
c36 = 1-c25; % Mred Conc.
mox = abs(sol2(:, 1, 2));
mred = 1-mox;
E_PS = E_set.*ones(1,N);
for counter2 = 1:N
E_OCP(counter2) = E0 + (((R*Temp)/(n*F).*(log(mox(counter2,:)./mred(counter2,:)))));
end
E_array = [E_PS, E_OCP];
% This is the case finder function
% Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
function [cc, ff, ss] = PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r)
% S; Mox;
cc = [ D_r; 1];
ff = [ 1; 1].*DcDx;
S_kin = ((gamma/eta)*(kappa^2)*c(1)*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
M_kin = ((kappa^2).*c(1).*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
ss = [-S_kin; -M_kin];
end
function c0 = PDE_ND_PS_EK_IC(x, ic_arg_1)
% Substrate; Mox;
c0 = [ic_arg_1{1}(x).’; ic_arg_1{2}(x).’];
end
function [pl, ql, pr, qr] = PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox)
% ———————
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% ——-|————-
% pl pr
% Substrate; Mediator;
pl = [0 ; yl(2)-c_M_ox];
ql = [1 ; 0];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function [pl, ql, pr, qr] = PDE_PSw_EK_BC_2(xl, yl, xr, yr, t, v, vdot)
pl = [0 ; 0];
ql = [1 ; 1];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function f = odeFunc(x, t, c, DcDx, v, vdot)
f = ((1E-03./(v(1)*(1-v(1))))*(DcDx))-vdot(1);
end
function v0=ode_ICFun(tau_0)
v0 = ones(tau_0).*.9;
end
function myVideo = Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
% Initialize Video
G = figure(1);
myVideo = VideoWriter(sprintf(‘κ%.2f γ%.2f η%.2f µ%.2f’, kappa, gamma, eta, mu));
myVideo.FrameRate = 10; % can adjust this, 5 – 10 works well for me
myVideo.Quality = 100;
open(myVideo);
color = ‘red’;
u = uicontrol(G, ‘Style’,’slider’,’Position’,[0 40 10 360],…
‘Min’,0,’Max’,N*2,’Value’,0);
tspan1 = linspace(0, round(((tau_M1*(l^2))/D_m)), N);
tspan2 = linspace(round(((tau_M1*(l^2))/D_m)), round(((tau_M2*l^2)/D_m),2), N);
tspan = [tspan1,tspan2];
for ii = 2:(N*2)
% Plot Species Conc. in the Layer
subplot(2,1,1);
yyaxis left
plot(chi,c25(ii,:),chi,c36(ii,:), ‘LineWidth’, 2);
ylabel(‘M’)
ylim([0,1]);
yyaxis right
plot(chi, c14(ii,:), ‘LineWidth’, 2);
ylabel(‘S’)
ylim([0,1]);
xlabel(‘chi’);
legend(‘M_{ox}’,’M_{red}’, ‘S’);
title(‘Normalized Concentration’);
subplot(2,1,2);
addpoints(animatedline(tspan,E_array,’marker’, ‘.’, ‘markersize’, 6, ‘color’, color,…
‘linestyle’, ‘–‘, ‘MaximumNumPoints’, 1),tspan(ii),E_array(ii));
ylim([0,0.5]);
xlim([0, tspan(end)]);
hold on;
title([‘Potential = ‘, num2str(E_array(ii))]);
% text(8, 8,{”,”})
drawnow
xlabel(‘t / s’); ylabel(‘E / V’);
u.Value = ii;
uicontrol(‘Style’,’Edit’,’Position’,[0,00,40,40], …
‘String’,num2str(tspan(ii),3));
pause(0.001)
M = getframe(G);
writeVideo(myVideo, M);
end
end
end Hi all,
I am trying to simulate a coupled PDE system with a non typical boundary conditions.
My coupled PDE system is as such.
The system is solved for two time periods
For first time period 0<tau_M1<tau
For s at the L.H.S we have
For s at the R.H.S we have
For species m at the L.H.S we have the to set m value to a constant
For species m at the R.H.S we have the no flux condition
For second time period tau<tau_M1<tau_2
For s at the L.H.S and R.H.S we have the same such as
For m we have
For the species we have the L.H.S boundary condition for timr period (tau<tau_M1<tau_2). It is this boundary condtiuon that I am seeking help with. How can I go about this.
function [c25, c2, vode] = pde1dm_PS_OCP_v1()
% Piecewise PDE Implementation
% Pulsing Simulation
% Constants Used in the Nernst Equation
n = 2; % No. of Electrons Involved
F = 96485.3329; % C/mol
R = 8.314; % J/(mol.K) or CV/(mol.K)
Temp = 273.15+20; % K
N = 21;
m = 0;
kappa=1;
eta=1;
gamma=1;
mu=1;
tau_M1=1;
tau_M2=2;
l=1;
D_r=1;
Area = 0.0011; % Geometric Area (cm^2)
m_layer = 4.13E-05; % m_layer (mol/cm^3)
D_m = 8.14E-08; % cm^2/s (De of polymer)
k = n*F*Area*l*m_layer;
% DIMENSIONLESS PARAMETERS
chi = linspace(0, 1, N);
tau = linspace(0, tau_M1, N); % Dimensionless Time
% FIRST POTENTIAL STEP
E0 = 0.22;
E_set = .450;
epsilon1 = ((n*F)/(R*Temp))*(E_set-E0); % Dimensionless Potential
c_M_ox = 1/(1+exp(-epsilon1)); % Mox BC
ic_arg_1 = {@(x)ones(size(N)) ; @(x)zeros(size(N))};
IC = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC = @(xl, yl, xr, yr, t)PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox);
sol1 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC, BC, chi, tau);
c1 = sol1(:, :, 1); % Substrate Conc.
c2 = sol1(:, :, 2); % Mox Conc.
% OPEN CIRCUIT POTENTIAL
tau2 = linspace(tau_M1, tau_M2, N); % Dimensionless Time
ic_arg_1 = {@(x)interp1(chi, sol1(N, :, 1), x) ; @(x)interp1(chi, sol1(N, :, 2), x)};
IC2 = @(x)PDE_ND_PS_EK_IC(x, ic_arg_1);
BC2 = @(xl, yl, xr, yr, t, v)PDE_PSw_EK_BC_2(xl, yl, xr, yr, v);
ode_IC = @() ode_ICFun(tau_M1);
opts.vectorized=’on’;
% sol2 = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
% IC2, BC2, chi, tau2);
[sol2, vode] = pde1dm(m, @(x, t, c, DcDx)PDE_ND_PS_EK(x, t, c, DcDx, kappa, eta, gamma, mu, D_r), …
IC2, BC2, chi, tau2, @odeFunc, ode_IC, .99);
% Concentration Profiles c(i, j, k)(Solutions)
c14 = [c1; sol2(:, :, 1)]; % Substrate Conc.
c25 = [c2; sol2(:, :, 2)]; % Mox Conc.
c36 = 1-c25; % Mred Conc.
mox = abs(sol2(:, 1, 2));
mred = 1-mox;
E_PS = E_set.*ones(1,N);
for counter2 = 1:N
E_OCP(counter2) = E0 + (((R*Temp)/(n*F).*(log(mox(counter2,:)./mred(counter2,:)))));
end
E_array = [E_PS, E_OCP];
% This is the case finder function
% Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
function [cc, ff, ss] = PDE_ND_PS_EK(chi, tau, c, DcDx, kappa, eta, gamma, mu, D_r)
% S; Mox;
cc = [ D_r; 1];
ff = [ 1; 1].*DcDx;
S_kin = ((gamma/eta)*(kappa^2)*c(1)*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
M_kin = ((kappa^2).*c(1).*c(2))./…
(gamma.*c(2).*(1+(mu.*c(1)))+c(1));
ss = [-S_kin; -M_kin];
end
function c0 = PDE_ND_PS_EK_IC(x, ic_arg_1)
% Substrate; Mox;
c0 = [ic_arg_1{1}(x).’; ic_arg_1{2}(x).’];
end
function [pl, ql, pr, qr] = PDE_PS_EK_BC(xl, yl, xr, yr, c_M_ox)
% ———————
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% | | |
% ——-|————-
% pl pr
% Substrate; Mediator;
pl = [0 ; yl(2)-c_M_ox];
ql = [1 ; 0];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function [pl, ql, pr, qr] = PDE_PSw_EK_BC_2(xl, yl, xr, yr, t, v, vdot)
pl = [0 ; 0];
ql = [1 ; 1];
pr = [yr(1)-1 ; 0];
qr = [0 ; 1];
end
function f = odeFunc(x, t, c, DcDx, v, vdot)
f = ((1E-03./(v(1)*(1-v(1))))*(DcDx))-vdot(1);
end
function v0=ode_ICFun(tau_0)
v0 = ones(tau_0).*.9;
end
function myVideo = Video(kappa, eta, gamma, mu, tau_M1, tau_M2, l, D_m, N, chi, c14, c25, c36, E_array)
% Initialize Video
G = figure(1);
myVideo = VideoWriter(sprintf(‘κ%.2f γ%.2f η%.2f µ%.2f’, kappa, gamma, eta, mu));
myVideo.FrameRate = 10; % can adjust this, 5 – 10 works well for me
myVideo.Quality = 100;
open(myVideo);
color = ‘red’;
u = uicontrol(G, ‘Style’,’slider’,’Position’,[0 40 10 360],…
‘Min’,0,’Max’,N*2,’Value’,0);
tspan1 = linspace(0, round(((tau_M1*(l^2))/D_m)), N);
tspan2 = linspace(round(((tau_M1*(l^2))/D_m)), round(((tau_M2*l^2)/D_m),2), N);
tspan = [tspan1,tspan2];
for ii = 2:(N*2)
% Plot Species Conc. in the Layer
subplot(2,1,1);
yyaxis left
plot(chi,c25(ii,:),chi,c36(ii,:), ‘LineWidth’, 2);
ylabel(‘M’)
ylim([0,1]);
yyaxis right
plot(chi, c14(ii,:), ‘LineWidth’, 2);
ylabel(‘S’)
ylim([0,1]);
xlabel(‘chi’);
legend(‘M_{ox}’,’M_{red}’, ‘S’);
title(‘Normalized Concentration’);
subplot(2,1,2);
addpoints(animatedline(tspan,E_array,’marker’, ‘.’, ‘markersize’, 6, ‘color’, color,…
‘linestyle’, ‘–‘, ‘MaximumNumPoints’, 1),tspan(ii),E_array(ii));
ylim([0,0.5]);
xlim([0, tspan(end)]);
hold on;
title([‘Potential = ‘, num2str(E_array(ii))]);
% text(8, 8,{”,”})
drawnow
xlabel(‘t / s’); ylabel(‘E / V’);
u.Value = ii;
uicontrol(‘Style’,’Edit’,’Position’,[0,00,40,40], …
‘String’,num2str(tspan(ii),3));
pause(0.001)
M = getframe(G);
writeVideo(myVideo, M);
end
end
end pde MATLAB Answers — New Questions
How to add a legend for a boxplot that indicates how the boxplot was created (summary statistics)?
Hi folks, I have a simple boxplot and I can’t figure out how to make a legend like the one shown in the photograph below. Ideally, the symbols and line specs would all match the associated text.
Perhaps doing it using the annotation or note tool? Was wondering if anyone has done this before. This type of formatting is a requirement for a journal paper.
For example (see example.png) I’ve gotten this far:
data = [1 2 3 4 4 5 5 6 6 7 8 9 13]
figure; boxplot(data);
a = get(get(gca,’children’),’children’); % Get the handles of all the objects
legend([a(1) a(2) a(3) a(4)],{‘Outliers’,’Median’,’25-75%’,’+/-1.5 IQR’})
But am wondering if there are alternative or better ways, and perhaps a way to show the blue bounding box? Just wanted to hear y’alls thoughts. Cheers.Hi folks, I have a simple boxplot and I can’t figure out how to make a legend like the one shown in the photograph below. Ideally, the symbols and line specs would all match the associated text.
Perhaps doing it using the annotation or note tool? Was wondering if anyone has done this before. This type of formatting is a requirement for a journal paper.
For example (see example.png) I’ve gotten this far:
data = [1 2 3 4 4 5 5 6 6 7 8 9 13]
figure; boxplot(data);
a = get(get(gca,’children’),’children’); % Get the handles of all the objects
legend([a(1) a(2) a(3) a(4)],{‘Outliers’,’Median’,’25-75%’,’+/-1.5 IQR’})
But am wondering if there are alternative or better ways, and perhaps a way to show the blue bounding box? Just wanted to hear y’alls thoughts. Cheers. Hi folks, I have a simple boxplot and I can’t figure out how to make a legend like the one shown in the photograph below. Ideally, the symbols and line specs would all match the associated text.
Perhaps doing it using the annotation or note tool? Was wondering if anyone has done this before. This type of formatting is a requirement for a journal paper.
For example (see example.png) I’ve gotten this far:
data = [1 2 3 4 4 5 5 6 6 7 8 9 13]
figure; boxplot(data);
a = get(get(gca,’children’),’children’); % Get the handles of all the objects
legend([a(1) a(2) a(3) a(4)],{‘Outliers’,’Median’,’25-75%’,’+/-1.5 IQR’})
But am wondering if there are alternative or better ways, and perhaps a way to show the blue bounding box? Just wanted to hear y’alls thoughts. Cheers. boxplot, legend, figure, labels MATLAB Answers — New Questions
