Category: Matlab
Category Archives: Matlab
How to launch scripts into Simulink using key shortcut
I have some scripts to automate some procese designing in Simulink, but I would like to run/launch them with a key shortcuts.
I tried to use ‘accelerator’ but is shows in the menu accelerator keys but without work.
How to activate accelerators or run/launch a custom scripts with a key shortcuts ?I have some scripts to automate some procese designing in Simulink, but I would like to run/launch them with a key shortcuts.
I tried to use ‘accelerator’ but is shows in the menu accelerator keys but without work.
How to activate accelerators or run/launch a custom scripts with a key shortcuts ? I have some scripts to automate some procese designing in Simulink, but I would like to run/launch them with a key shortcuts.
I tried to use ‘accelerator’ but is shows in the menu accelerator keys but without work.
How to activate accelerators or run/launch a custom scripts with a key shortcuts ? accelerators, key shortcuts MATLAB Answers — New Questions
Using array input and output for simulink S-function C code block
I’m having a tough time attempting to use a C code block that needs uint8 array input and output . I’ve tried starting from a number of legacy code examples but encounter crashes every time my C code actually tries to access the incoming memory. If someone can point me to a working example (I’ve already tried everything that looked relevant here) I’d appreciate it. In my latest attempt I gave up on using the legacy code functions and took code from this example Create a Basic C MEX S-Function – MATLAB & Simulink (mathworks.com) which at least runs without crashing, and started to change it to take uint8 in/out as below. However I’ve no idea where to find the equivalent of InputRealPtrsType for unit8_T . If I use InputPtrsType instead of InputRealPtrsType I get the error error C2100: you cannot dereference an operand of type const void`
static void mdlOutputs(SimStruct *S, int_T tid)
{
int_T i;
// replced ssGetInputPortRealSignalPtrs(S,0) with ssGetInputPortSignalPtrs
InputRealPtrsType uPtrs = ssGetInputPortSignalPtrs(S,0);
// replaced ssGetOutputPortRealSignal(S,0) with ssGetOutputPortSignal
real_T *y = ssGetOutputPortSignal(S,0);
int_T width = ssGetOutputPortWidth(S,0);
for (i=0; i<width; i++) {
*y++ = 2.0 *(*uPtrs[i]);
}
}I’m having a tough time attempting to use a C code block that needs uint8 array input and output . I’ve tried starting from a number of legacy code examples but encounter crashes every time my C code actually tries to access the incoming memory. If someone can point me to a working example (I’ve already tried everything that looked relevant here) I’d appreciate it. In my latest attempt I gave up on using the legacy code functions and took code from this example Create a Basic C MEX S-Function – MATLAB & Simulink (mathworks.com) which at least runs without crashing, and started to change it to take uint8 in/out as below. However I’ve no idea where to find the equivalent of InputRealPtrsType for unit8_T . If I use InputPtrsType instead of InputRealPtrsType I get the error error C2100: you cannot dereference an operand of type const void`
static void mdlOutputs(SimStruct *S, int_T tid)
{
int_T i;
// replced ssGetInputPortRealSignalPtrs(S,0) with ssGetInputPortSignalPtrs
InputRealPtrsType uPtrs = ssGetInputPortSignalPtrs(S,0);
// replaced ssGetOutputPortRealSignal(S,0) with ssGetOutputPortSignal
real_T *y = ssGetOutputPortSignal(S,0);
int_T width = ssGetOutputPortWidth(S,0);
for (i=0; i<width; i++) {
*y++ = 2.0 *(*uPtrs[i]);
}
} I’m having a tough time attempting to use a C code block that needs uint8 array input and output . I’ve tried starting from a number of legacy code examples but encounter crashes every time my C code actually tries to access the incoming memory. If someone can point me to a working example (I’ve already tried everything that looked relevant here) I’d appreciate it. In my latest attempt I gave up on using the legacy code functions and took code from this example Create a Basic C MEX S-Function – MATLAB & Simulink (mathworks.com) which at least runs without crashing, and started to change it to take uint8 in/out as below. However I’ve no idea where to find the equivalent of InputRealPtrsType for unit8_T . If I use InputPtrsType instead of InputRealPtrsType I get the error error C2100: you cannot dereference an operand of type const void`
static void mdlOutputs(SimStruct *S, int_T tid)
{
int_T i;
// replced ssGetInputPortRealSignalPtrs(S,0) with ssGetInputPortSignalPtrs
InputRealPtrsType uPtrs = ssGetInputPortSignalPtrs(S,0);
// replaced ssGetOutputPortRealSignal(S,0) with ssGetOutputPortSignal
real_T *y = ssGetOutputPortSignal(S,0);
int_T width = ssGetOutputPortWidth(S,0);
for (i=0; i<width; i++) {
*y++ = 2.0 *(*uPtrs[i]);
}
} sfunction, c-code, legacy code MATLAB Answers — New Questions
Initializing data store memory for Simulink global variables
For all functions called by Simulink function block, Simulink requires the declaration of all global variables. Also these variables need to be initialized in Data store memory. Now if any of such global variables is an array, whose initial value is an empty matrix [ ] (as its size changes during the program execution), then the Simulink is not accepting the bare initial value of [ ] for any variable’s data store memory. How to handle this situation, as there are too many such variables.For all functions called by Simulink function block, Simulink requires the declaration of all global variables. Also these variables need to be initialized in Data store memory. Now if any of such global variables is an array, whose initial value is an empty matrix [ ] (as its size changes during the program execution), then the Simulink is not accepting the bare initial value of [ ] for any variable’s data store memory. How to handle this situation, as there are too many such variables. For all functions called by Simulink function block, Simulink requires the declaration of all global variables. Also these variables need to be initialized in Data store memory. Now if any of such global variables is an array, whose initial value is an empty matrix [ ] (as its size changes during the program execution), then the Simulink is not accepting the bare initial value of [ ] for any variable’s data store memory. How to handle this situation, as there are too many such variables. simulink, data store memory, initialization MATLAB Answers — New Questions
Access violation detected: Abnormal termination:
The simulink model successfully generates the C code, however as soon as I move around and click on any model reference block, the MATLAB crashes. I am using MATLAB 2023B and Microsoft visual c++ compiler
Attaching the crash dump file.
——————————————————————————–
Access violation detected at 2024-09-09 17:01:05 -0700
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 2 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 3 : Intel Corporation ( 0x8086 ) Intel(R) UHD Graphics Version 31.0.101.5388 (2024-4-2)
Graphics card 4 : NVIDIA ( 0x10de ) NVIDIA RTX A4000 Laptop GPU Version 31.0.15.3878 (2024-6-10)
Interpreter 0 : Executing request: 6D61696E2F4173796E63426174636865722E637070
JAWT Patch Status: : Patch applied
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11829912
MATLAB Root : C:Program FilesMATLABR2023b
MATLAB Version : 23.2.0.2485118 (R2023b) Update 6
OpenGL : hardware
Operating System : Microsoft Windows 11 Pro
Process ID : 10524
Processor ID : x86 Family 6 Model 141 Stepping 1, GenuineIntel
Session Key : a0173aab-8175-4e16-af59-45895ff25504
Window System : Version 10.0 (Build 22631)
Fault Count: 1
Abnormal termination:
Access violation
Current Thread: ‘MCR 0 interpreter thread’ id 28828
Register State (from fault):
RAX = 0000000000000000 RBX = 000002723a50d3f0
RCX = 0000000000000000 RDX = 000002723a50d3f0
RSP = 000000d07ddfbcb8 RBP = 0000000000000000
RSI = 00000272275cb370 RDI = 00000272275cb370
R8 = 000000d07ddfbe08 R9 = 0000000000000000
R10 = 00007fff6f7cf828 R11 = 000000d07ddfbd00
R12 = 000000d07ddfbe08 R13 = 0000000000000000
R14 = 000000d07ddfbe08 R15 = 000000d07ddfbdd8
RIP = 00007fff6164dad0 EFL = 00010206
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007fff6164dad0 C:Program FilesMATLABR2023bbinwin64SimulinkBlock.dll+00187088 SLRootBlock::getRootBPI+00000000
[ 1] 0x00007fff69601b05 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429445 SlSSRefWS::getNextParentWorkspace+00000069
[ 2] 0x00007fff696019bb C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429115 SlSSRefWS::fullFindVariable+00000203
[ 3] 0x00007fff69472423 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+04793379 ValidateDialogFields::validateFieldForCanvas+00001811
[ 4] 0x00007fff6f055359 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10179417 BlockEditTimeController::findMissingVarHelper+00000281
[ 5] 0x00007fff6f054fe4 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10178532 BlockEditTimeController::findMissingVar+00001604
[ 6] 0x00007fff6f055daf C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10182063 BlockEditTimeController::findMissingVariable+00001119
[ 7] 0x00007ffeff62e123 C:Program FilesMATLABR2023bbinwin64sldiagnostic_edittime.dll+00123171
[ 8] 0x00007ffeff9ed951 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00579921 mwboost::archive::codecvt_null<wchar_t>::do_out+00104625
[ 9] 0x00007ffeff9daab9 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00502457 mwboost::archive::codecvt_null<wchar_t>::do_out+00027161
[ 10] 0x00007ffeff9bc61a C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00378394 MLTerminate_edittimecheckengine+00166394
[ 11] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 12] 0x00007fff8ca8b7bf C:Program FilesMATLABR2023bbinwin64performance.dll+00309183 Performance::CooperativeTaskManager::OrderedTaskSession::onProcess+00000159
[ 13] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 14] 0x00007fff8ca8b997 C:Program FilesMATLABR2023bbinwin64performance.dll+00309655 Performance::CooperativeTaskManager::RoundRobinTaskSession::onProcess+00000231
[ 15] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 16] 0x00007fff8ca8cbf6 C:Program FilesMATLABR2023bbinwin64performance.dll+00314358 Performance::CooperativeTaskManager::shutDown+00000694
[ 17] 0x00007fff8ca58594 C:Program FilesMATLABR2023bbinwin64performance.dll+00099732 Performance::CooperativeTaskManager::Task::setName+00059796
[ 18] 0x00007fff8ca72150 C:Program FilesMATLABR2023bbinwin64performance.dll+00205136 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00016528
[ 19] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 20] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 21] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 22] 0x00007fffe8dacc61 C:Program FilesMATLABR2023bbinwin64iqm.dll+00445537 iqm::Iqm::create+00007745
[ 23] 0x00007ffffe753f5e C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081758 ioReadLine+00000430
[ 24] 0x00007ffffe753d75 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081269 ioReadLine+00000165
[ 25] 0x00007ffffe785fb0 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00286640 mnGetCommandLineBuffer+00000288
[ 26] 0x00007ffffe7864b2 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00287922 mnParser+00000578
[ 27] 0x00007fffe7d1b398 C:Program FilesMATLABR2023bbinwin64mcr.dll+00439192 mcr_initialize_main+00013816
[ 28] 0x00007fffe7cc8604 C:Program FilesMATLABR2023bbinwin64mcr.dll+00099844 mcrFunctionSignature::set_signature+00078996
[ 29] 0x00007fffe7ce61a0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00221600 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00017728
[ 30] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 31] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 32] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 33] 0x00007fffe8dade81 C:Program FilesMATLABR2023bbinwin64iqm.dll+00450177 iqm::Iqm::create+00012385
[ 34] 0x00007fffe8dad5c9 C:Program FilesMATLABR2023bbinwin64iqm.dll+00447945 iqm::Iqm::create+00010153
[ 35] 0x00007fffe7d01c1c C:Program FilesMATLABR2023bbinwin64mcr.dll+00334876 mcrInstantiationError::operator=+00009948
[ 36] 0x00007fffe7d02645 C:Program FilesMATLABR2023bbinwin64mcr.dll+00337477 mcrInstantiationError::operator=+00012549
[ 37] 0x00007fffe7cfffd0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00327632 mcrInstantiationError::operator=+00002704
[ 38] 0x00007ff82b8a92ea C:Program FilesMATLABR2023bbinwin64mwboost_thread-vc142-mt-x64-1_78.dll+00037610 mwboost::detail::win32::handle_manager::swap+00001642
[ 39] 0x00007ff83fd79333 C:WINDOWSSystem32ucrtbase.dll+00168755 recalloc+00000163
[ 40] 0x00007ff840de257d C:WINDOWSSystem32KERNEL32.DLL+00075133 BaseThreadInitThunk+00000029
[ 41] 0x00007ff8421caf28 C:WINDOWSSYSTEM32ntdll.dll+00372520 RtlUserThreadStart+00000040
Program State:
Most Recent Simulink Activity:
coderGenerateCodeOnlyAction : OK in editor 23 at Mon Sep 9 16:59:47 2024
embeddedCoderAppAction : OK in editor 23 at Mon Sep 9 16:59:45 2024
coderGenerateCodeOnlyAction : OK in editor 22 at Mon Sep 9 16:54:23 2024
embeddedCoderAppAction : OK in editor 22 at Mon Sep 9 16:54:20 2024
saveModelAction : OK in editor 13 at Mon Sep 9 15:32:54 2024
saveModelAction : OK in editor 6 at Mon Sep 9 15:32:50 2024
Delete : OK in editor 6 at Mon Sep 9 15:32:48 2024
coderGenerateCodeOnlyAction : OK in editor 13 at Mon Sep 9 15:32:11 2024
embeddedCoderAppAction : OK in editor 13 at Mon Sep 9 15:32:09 2024
stopSimulationAction : OK in editor 13 at Mon Sep 9 15:32:05 2024
Most Recent Tool Interaction:
Editor 16: tools idle, class GLUE2::PanZoomTool is most recently active tool since Mon Sep 9 16:53:43 2024
Editor 17: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:53:52 2024
Editor 18: tools idle, no most recently active tool Editor 19: tools idle, no most recently active tool Editor 20: tools idle, no most recently active tool Editor 21: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:54:14 2024
Editor 22: tools idle, no most recently active toolThe simulink model successfully generates the C code, however as soon as I move around and click on any model reference block, the MATLAB crashes. I am using MATLAB 2023B and Microsoft visual c++ compiler
Attaching the crash dump file.
——————————————————————————–
Access violation detected at 2024-09-09 17:01:05 -0700
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 2 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 3 : Intel Corporation ( 0x8086 ) Intel(R) UHD Graphics Version 31.0.101.5388 (2024-4-2)
Graphics card 4 : NVIDIA ( 0x10de ) NVIDIA RTX A4000 Laptop GPU Version 31.0.15.3878 (2024-6-10)
Interpreter 0 : Executing request: 6D61696E2F4173796E63426174636865722E637070
JAWT Patch Status: : Patch applied
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11829912
MATLAB Root : C:Program FilesMATLABR2023b
MATLAB Version : 23.2.0.2485118 (R2023b) Update 6
OpenGL : hardware
Operating System : Microsoft Windows 11 Pro
Process ID : 10524
Processor ID : x86 Family 6 Model 141 Stepping 1, GenuineIntel
Session Key : a0173aab-8175-4e16-af59-45895ff25504
Window System : Version 10.0 (Build 22631)
Fault Count: 1
Abnormal termination:
Access violation
Current Thread: ‘MCR 0 interpreter thread’ id 28828
Register State (from fault):
RAX = 0000000000000000 RBX = 000002723a50d3f0
RCX = 0000000000000000 RDX = 000002723a50d3f0
RSP = 000000d07ddfbcb8 RBP = 0000000000000000
RSI = 00000272275cb370 RDI = 00000272275cb370
R8 = 000000d07ddfbe08 R9 = 0000000000000000
R10 = 00007fff6f7cf828 R11 = 000000d07ddfbd00
R12 = 000000d07ddfbe08 R13 = 0000000000000000
R14 = 000000d07ddfbe08 R15 = 000000d07ddfbdd8
RIP = 00007fff6164dad0 EFL = 00010206
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007fff6164dad0 C:Program FilesMATLABR2023bbinwin64SimulinkBlock.dll+00187088 SLRootBlock::getRootBPI+00000000
[ 1] 0x00007fff69601b05 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429445 SlSSRefWS::getNextParentWorkspace+00000069
[ 2] 0x00007fff696019bb C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429115 SlSSRefWS::fullFindVariable+00000203
[ 3] 0x00007fff69472423 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+04793379 ValidateDialogFields::validateFieldForCanvas+00001811
[ 4] 0x00007fff6f055359 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10179417 BlockEditTimeController::findMissingVarHelper+00000281
[ 5] 0x00007fff6f054fe4 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10178532 BlockEditTimeController::findMissingVar+00001604
[ 6] 0x00007fff6f055daf C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10182063 BlockEditTimeController::findMissingVariable+00001119
[ 7] 0x00007ffeff62e123 C:Program FilesMATLABR2023bbinwin64sldiagnostic_edittime.dll+00123171
[ 8] 0x00007ffeff9ed951 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00579921 mwboost::archive::codecvt_null<wchar_t>::do_out+00104625
[ 9] 0x00007ffeff9daab9 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00502457 mwboost::archive::codecvt_null<wchar_t>::do_out+00027161
[ 10] 0x00007ffeff9bc61a C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00378394 MLTerminate_edittimecheckengine+00166394
[ 11] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 12] 0x00007fff8ca8b7bf C:Program FilesMATLABR2023bbinwin64performance.dll+00309183 Performance::CooperativeTaskManager::OrderedTaskSession::onProcess+00000159
[ 13] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 14] 0x00007fff8ca8b997 C:Program FilesMATLABR2023bbinwin64performance.dll+00309655 Performance::CooperativeTaskManager::RoundRobinTaskSession::onProcess+00000231
[ 15] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 16] 0x00007fff8ca8cbf6 C:Program FilesMATLABR2023bbinwin64performance.dll+00314358 Performance::CooperativeTaskManager::shutDown+00000694
[ 17] 0x00007fff8ca58594 C:Program FilesMATLABR2023bbinwin64performance.dll+00099732 Performance::CooperativeTaskManager::Task::setName+00059796
[ 18] 0x00007fff8ca72150 C:Program FilesMATLABR2023bbinwin64performance.dll+00205136 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00016528
[ 19] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 20] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 21] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 22] 0x00007fffe8dacc61 C:Program FilesMATLABR2023bbinwin64iqm.dll+00445537 iqm::Iqm::create+00007745
[ 23] 0x00007ffffe753f5e C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081758 ioReadLine+00000430
[ 24] 0x00007ffffe753d75 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081269 ioReadLine+00000165
[ 25] 0x00007ffffe785fb0 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00286640 mnGetCommandLineBuffer+00000288
[ 26] 0x00007ffffe7864b2 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00287922 mnParser+00000578
[ 27] 0x00007fffe7d1b398 C:Program FilesMATLABR2023bbinwin64mcr.dll+00439192 mcr_initialize_main+00013816
[ 28] 0x00007fffe7cc8604 C:Program FilesMATLABR2023bbinwin64mcr.dll+00099844 mcrFunctionSignature::set_signature+00078996
[ 29] 0x00007fffe7ce61a0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00221600 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00017728
[ 30] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 31] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 32] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 33] 0x00007fffe8dade81 C:Program FilesMATLABR2023bbinwin64iqm.dll+00450177 iqm::Iqm::create+00012385
[ 34] 0x00007fffe8dad5c9 C:Program FilesMATLABR2023bbinwin64iqm.dll+00447945 iqm::Iqm::create+00010153
[ 35] 0x00007fffe7d01c1c C:Program FilesMATLABR2023bbinwin64mcr.dll+00334876 mcrInstantiationError::operator=+00009948
[ 36] 0x00007fffe7d02645 C:Program FilesMATLABR2023bbinwin64mcr.dll+00337477 mcrInstantiationError::operator=+00012549
[ 37] 0x00007fffe7cfffd0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00327632 mcrInstantiationError::operator=+00002704
[ 38] 0x00007ff82b8a92ea C:Program FilesMATLABR2023bbinwin64mwboost_thread-vc142-mt-x64-1_78.dll+00037610 mwboost::detail::win32::handle_manager::swap+00001642
[ 39] 0x00007ff83fd79333 C:WINDOWSSystem32ucrtbase.dll+00168755 recalloc+00000163
[ 40] 0x00007ff840de257d C:WINDOWSSystem32KERNEL32.DLL+00075133 BaseThreadInitThunk+00000029
[ 41] 0x00007ff8421caf28 C:WINDOWSSYSTEM32ntdll.dll+00372520 RtlUserThreadStart+00000040
Program State:
Most Recent Simulink Activity:
coderGenerateCodeOnlyAction : OK in editor 23 at Mon Sep 9 16:59:47 2024
embeddedCoderAppAction : OK in editor 23 at Mon Sep 9 16:59:45 2024
coderGenerateCodeOnlyAction : OK in editor 22 at Mon Sep 9 16:54:23 2024
embeddedCoderAppAction : OK in editor 22 at Mon Sep 9 16:54:20 2024
saveModelAction : OK in editor 13 at Mon Sep 9 15:32:54 2024
saveModelAction : OK in editor 6 at Mon Sep 9 15:32:50 2024
Delete : OK in editor 6 at Mon Sep 9 15:32:48 2024
coderGenerateCodeOnlyAction : OK in editor 13 at Mon Sep 9 15:32:11 2024
embeddedCoderAppAction : OK in editor 13 at Mon Sep 9 15:32:09 2024
stopSimulationAction : OK in editor 13 at Mon Sep 9 15:32:05 2024
Most Recent Tool Interaction:
Editor 16: tools idle, class GLUE2::PanZoomTool is most recently active tool since Mon Sep 9 16:53:43 2024
Editor 17: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:53:52 2024
Editor 18: tools idle, no most recently active tool Editor 19: tools idle, no most recently active tool Editor 20: tools idle, no most recently active tool Editor 21: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:54:14 2024
Editor 22: tools idle, no most recently active tool The simulink model successfully generates the C code, however as soon as I move around and click on any model reference block, the MATLAB crashes. I am using MATLAB 2023B and Microsoft visual c++ compiler
Attaching the crash dump file.
——————————————————————————–
Access violation detected at 2024-09-09 17:01:05 -0700
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 2 : DisplayLink ( 0x0 ) DisplayLink USB Device Version 11.3.5139.0 (2024-2-9)
Graphics card 3 : Intel Corporation ( 0x8086 ) Intel(R) UHD Graphics Version 31.0.101.5388 (2024-4-2)
Graphics card 4 : NVIDIA ( 0x10de ) NVIDIA RTX A4000 Laptop GPU Version 31.0.15.3878 (2024-6-10)
Interpreter 0 : Executing request: 6D61696E2F4173796E63426174636865722E637070
JAWT Patch Status: : Patch applied
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11829912
MATLAB Root : C:Program FilesMATLABR2023b
MATLAB Version : 23.2.0.2485118 (R2023b) Update 6
OpenGL : hardware
Operating System : Microsoft Windows 11 Pro
Process ID : 10524
Processor ID : x86 Family 6 Model 141 Stepping 1, GenuineIntel
Session Key : a0173aab-8175-4e16-af59-45895ff25504
Window System : Version 10.0 (Build 22631)
Fault Count: 1
Abnormal termination:
Access violation
Current Thread: ‘MCR 0 interpreter thread’ id 28828
Register State (from fault):
RAX = 0000000000000000 RBX = 000002723a50d3f0
RCX = 0000000000000000 RDX = 000002723a50d3f0
RSP = 000000d07ddfbcb8 RBP = 0000000000000000
RSI = 00000272275cb370 RDI = 00000272275cb370
R8 = 000000d07ddfbe08 R9 = 0000000000000000
R10 = 00007fff6f7cf828 R11 = 000000d07ddfbd00
R12 = 000000d07ddfbe08 R13 = 0000000000000000
R14 = 000000d07ddfbe08 R15 = 000000d07ddfbdd8
RIP = 00007fff6164dad0 EFL = 00010206
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007fff6164dad0 C:Program FilesMATLABR2023bbinwin64SimulinkBlock.dll+00187088 SLRootBlock::getRootBPI+00000000
[ 1] 0x00007fff69601b05 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429445 SlSSRefWS::getNextParentWorkspace+00000069
[ 2] 0x00007fff696019bb C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+06429115 SlSSRefWS::fullFindVariable+00000203
[ 3] 0x00007fff69472423 C:Program FilesMATLABR2023bbinwin64sl_prm_engine.dll+04793379 ValidateDialogFields::validateFieldForCanvas+00001811
[ 4] 0x00007fff6f055359 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10179417 BlockEditTimeController::findMissingVarHelper+00000281
[ 5] 0x00007fff6f054fe4 C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10178532 BlockEditTimeController::findMissingVar+00001604
[ 6] 0x00007fff6f055daf C:Program FilesMATLABR2023bbinwin64libmwsimulink.dll+10182063 BlockEditTimeController::findMissingVariable+00001119
[ 7] 0x00007ffeff62e123 C:Program FilesMATLABR2023bbinwin64sldiagnostic_edittime.dll+00123171
[ 8] 0x00007ffeff9ed951 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00579921 mwboost::archive::codecvt_null<wchar_t>::do_out+00104625
[ 9] 0x00007ffeff9daab9 C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00502457 mwboost::archive::codecvt_null<wchar_t>::do_out+00027161
[ 10] 0x00007ffeff9bc61a C:Program FilesMATLABR2023bbinwin64edittimecheckengine.dll+00378394 MLTerminate_edittimecheckengine+00166394
[ 11] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 12] 0x00007fff8ca8b7bf C:Program FilesMATLABR2023bbinwin64performance.dll+00309183 Performance::CooperativeTaskManager::OrderedTaskSession::onProcess+00000159
[ 13] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 14] 0x00007fff8ca8b997 C:Program FilesMATLABR2023bbinwin64performance.dll+00309655 Performance::CooperativeTaskManager::RoundRobinTaskSession::onProcess+00000231
[ 15] 0x00007fff8ca8c261 C:Program FilesMATLABR2023bbinwin64performance.dll+00311905 Performance::CooperativeTaskManager::Task::process+00000385
[ 16] 0x00007fff8ca8cbf6 C:Program FilesMATLABR2023bbinwin64performance.dll+00314358 Performance::CooperativeTaskManager::shutDown+00000694
[ 17] 0x00007fff8ca58594 C:Program FilesMATLABR2023bbinwin64performance.dll+00099732 Performance::CooperativeTaskManager::Task::setName+00059796
[ 18] 0x00007fff8ca72150 C:Program FilesMATLABR2023bbinwin64performance.dll+00205136 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00016528
[ 19] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 20] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 21] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 22] 0x00007fffe8dacc61 C:Program FilesMATLABR2023bbinwin64iqm.dll+00445537 iqm::Iqm::create+00007745
[ 23] 0x00007ffffe753f5e C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081758 ioReadLine+00000430
[ 24] 0x00007ffffe753d75 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00081269 ioReadLine+00000165
[ 25] 0x00007ffffe785fb0 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00286640 mnGetCommandLineBuffer+00000288
[ 26] 0x00007ffffe7864b2 C:Program FilesMATLABR2023bbinwin64libmwbridge.dll+00287922 mnParser+00000578
[ 27] 0x00007fffe7d1b398 C:Program FilesMATLABR2023bbinwin64mcr.dll+00439192 mcr_initialize_main+00013816
[ 28] 0x00007fffe7cc8604 C:Program FilesMATLABR2023bbinwin64mcr.dll+00099844 mcrFunctionSignature::set_signature+00078996
[ 29] 0x00007fffe7ce61a0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00221600 mwboost::archive::codecvt_null<wchar_t>::`default constructor closure’+00017728
[ 30] 0x00007fffe8e08c3a C:Program FilesMATLABR2023bbinwin64iqm.dll+00822330 iqm::PackagedTaskPlugin::execute+00000074
[ 31] 0x00007fffe7d158e0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00415968 installMOCmdWinSink+00074384
[ 32] 0x00007fffe8ddcbb7 C:Program FilesMATLABR2023bbinwin64iqm.dll+00641975 iqm::Iqm::setupIqmFcnPtrs+00100471
[ 33] 0x00007fffe8dade81 C:Program FilesMATLABR2023bbinwin64iqm.dll+00450177 iqm::Iqm::create+00012385
[ 34] 0x00007fffe8dad5c9 C:Program FilesMATLABR2023bbinwin64iqm.dll+00447945 iqm::Iqm::create+00010153
[ 35] 0x00007fffe7d01c1c C:Program FilesMATLABR2023bbinwin64mcr.dll+00334876 mcrInstantiationError::operator=+00009948
[ 36] 0x00007fffe7d02645 C:Program FilesMATLABR2023bbinwin64mcr.dll+00337477 mcrInstantiationError::operator=+00012549
[ 37] 0x00007fffe7cfffd0 C:Program FilesMATLABR2023bbinwin64mcr.dll+00327632 mcrInstantiationError::operator=+00002704
[ 38] 0x00007ff82b8a92ea C:Program FilesMATLABR2023bbinwin64mwboost_thread-vc142-mt-x64-1_78.dll+00037610 mwboost::detail::win32::handle_manager::swap+00001642
[ 39] 0x00007ff83fd79333 C:WINDOWSSystem32ucrtbase.dll+00168755 recalloc+00000163
[ 40] 0x00007ff840de257d C:WINDOWSSystem32KERNEL32.DLL+00075133 BaseThreadInitThunk+00000029
[ 41] 0x00007ff8421caf28 C:WINDOWSSYSTEM32ntdll.dll+00372520 RtlUserThreadStart+00000040
Program State:
Most Recent Simulink Activity:
coderGenerateCodeOnlyAction : OK in editor 23 at Mon Sep 9 16:59:47 2024
embeddedCoderAppAction : OK in editor 23 at Mon Sep 9 16:59:45 2024
coderGenerateCodeOnlyAction : OK in editor 22 at Mon Sep 9 16:54:23 2024
embeddedCoderAppAction : OK in editor 22 at Mon Sep 9 16:54:20 2024
saveModelAction : OK in editor 13 at Mon Sep 9 15:32:54 2024
saveModelAction : OK in editor 6 at Mon Sep 9 15:32:50 2024
Delete : OK in editor 6 at Mon Sep 9 15:32:48 2024
coderGenerateCodeOnlyAction : OK in editor 13 at Mon Sep 9 15:32:11 2024
embeddedCoderAppAction : OK in editor 13 at Mon Sep 9 15:32:09 2024
stopSimulationAction : OK in editor 13 at Mon Sep 9 15:32:05 2024
Most Recent Tool Interaction:
Editor 16: tools idle, class GLUE2::PanZoomTool is most recently active tool since Mon Sep 9 16:53:43 2024
Editor 17: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:53:52 2024
Editor 18: tools idle, no most recently active tool Editor 19: tools idle, no most recently active tool Editor 20: tools idle, no most recently active tool Editor 21: tools idle, class GLUE2::BadgeTool is most recently active tool since Mon Sep 9 16:54:14 2024
Editor 22: tools idle, no most recently active tool crash, simulink MATLAB Answers — New Questions
Comparing PWM Modulation Techniques for Three-Phase Inverters
Hello MathWorks Community,
I’m interested in comparing various modulation techniques for three-phase inverters, such as SPWM, DPWM, and SVPWM. I want to evaluate their impact on different power electronics criteria, including noise, efficiency, and cost.
However, implementing each modulation technique individually is quite challenging. Does anyone have any ideas or suggestions on how to efficiently compare these modulation methods without having to implement each one from scratch?
I’m particularly looking for:
Efficient ways to compare multiple PWM techniques
Tools or libraries that might simplify this comparison process
Any existing studies or resources that have already done similar comparisons
Any insights or recommendations would be greatly appreciated. Thank you!Hello MathWorks Community,
I’m interested in comparing various modulation techniques for three-phase inverters, such as SPWM, DPWM, and SVPWM. I want to evaluate their impact on different power electronics criteria, including noise, efficiency, and cost.
However, implementing each modulation technique individually is quite challenging. Does anyone have any ideas or suggestions on how to efficiently compare these modulation methods without having to implement each one from scratch?
I’m particularly looking for:
Efficient ways to compare multiple PWM techniques
Tools or libraries that might simplify this comparison process
Any existing studies or resources that have already done similar comparisons
Any insights or recommendations would be greatly appreciated. Thank you! Hello MathWorks Community,
I’m interested in comparing various modulation techniques for three-phase inverters, such as SPWM, DPWM, and SVPWM. I want to evaluate their impact on different power electronics criteria, including noise, efficiency, and cost.
However, implementing each modulation technique individually is quite challenging. Does anyone have any ideas or suggestions on how to efficiently compare these modulation methods without having to implement each one from scratch?
I’m particularly looking for:
Efficient ways to compare multiple PWM techniques
Tools or libraries that might simplify this comparison process
Any existing studies or resources that have already done similar comparisons
Any insights or recommendations would be greatly appreciated. Thank you! power_electronics_control, inverter, pwm, three-phase, modulation-techniques, spwm, dpwm, svpwm, performance-comparison, simulation MATLAB Answers — New Questions
Hi i am a new learner please help me
The smallest number which can be stored by the int type is -2147483648. Check that this value is correct. Is there an equivalent bound for the type real? If so, what is this variable’s name?
What is the value of this variable?The smallest number which can be stored by the int type is -2147483648. Check that this value is correct. Is there an equivalent bound for the type real? If so, what is this variable’s name?
What is the value of this variable? The smallest number which can be stored by the int type is -2147483648. Check that this value is correct. Is there an equivalent bound for the type real? If so, what is this variable’s name?
What is the value of this variable? homework MATLAB Answers — New Questions
Unconstrained minimisation problem with a complicated range
I have 3N objects with properties p1,p2,p3. I need to organise these objects into groups of N objects such that the sum of property p1 is the same. I think I can do with the functional:
f(p1)=(sum(p1,1)-sum(p1,2)).^2+(sum(p1,1)-sum(p1,3)).^2+(sum(p1,3)-sum(p1,2)).^2
|Where sum(p1,i) denotes the sum over the subset of p1’s for N objects. The same for other properties, so the objective functionals will simply add(I think). Is there a way of doing this? I guess, if I can do it for one property, I can do it for three?I have 3N objects with properties p1,p2,p3. I need to organise these objects into groups of N objects such that the sum of property p1 is the same. I think I can do with the functional:
f(p1)=(sum(p1,1)-sum(p1,2)).^2+(sum(p1,1)-sum(p1,3)).^2+(sum(p1,3)-sum(p1,2)).^2
|Where sum(p1,i) denotes the sum over the subset of p1’s for N objects. The same for other properties, so the objective functionals will simply add(I think). Is there a way of doing this? I guess, if I can do it for one property, I can do it for three? I have 3N objects with properties p1,p2,p3. I need to organise these objects into groups of N objects such that the sum of property p1 is the same. I think I can do with the functional:
f(p1)=(sum(p1,1)-sum(p1,2)).^2+(sum(p1,1)-sum(p1,3)).^2+(sum(p1,3)-sum(p1,2)).^2
|Where sum(p1,i) denotes the sum over the subset of p1’s for N objects. The same for other properties, so the objective functionals will simply add(I think). Is there a way of doing this? I guess, if I can do it for one property, I can do it for three? fminunc MATLAB Answers — New Questions
Why is it when I am adding a number to array, the single number overrides array
Currently trying to add a single number to an array, but despite the array initially outputting well, the moment I try to add to it, the entire array is replaced by the number I am adding. This can be best seen by running "lownutant" which outputs a 1×50 array, but adding 1 changes all values to 1.
% Modified Ramberg-Osgood Tension
E=10.3*10^6; %psi
Fty=68000; %psi
Ftu=76000; %psi
fnl=linspace(0,Ftu,250);
e0=0.09;
epu=e0-(Ftu/E);
nt=log(epu/.002)/log(Ftu/Fty);
enl=(fnl./E)+(0.002.*((fnl./Fty).^nt));
% Tangent Modulus
dEtan=linspace(.025,.03,50) %Domain for plotting Etan
lownutant=((.002.*E.*nt./Fty)).*((dEtan./Fty).^(nt-1))
a=1
b= a+lownutantCurrently trying to add a single number to an array, but despite the array initially outputting well, the moment I try to add to it, the entire array is replaced by the number I am adding. This can be best seen by running "lownutant" which outputs a 1×50 array, but adding 1 changes all values to 1.
% Modified Ramberg-Osgood Tension
E=10.3*10^6; %psi
Fty=68000; %psi
Ftu=76000; %psi
fnl=linspace(0,Ftu,250);
e0=0.09;
epu=e0-(Ftu/E);
nt=log(epu/.002)/log(Ftu/Fty);
enl=(fnl./E)+(0.002.*((fnl./Fty).^nt));
% Tangent Modulus
dEtan=linspace(.025,.03,50) %Domain for plotting Etan
lownutant=((.002.*E.*nt./Fty)).*((dEtan./Fty).^(nt-1))
a=1
b= a+lownutant Currently trying to add a single number to an array, but despite the array initially outputting well, the moment I try to add to it, the entire array is replaced by the number I am adding. This can be best seen by running "lownutant" which outputs a 1×50 array, but adding 1 changes all values to 1.
% Modified Ramberg-Osgood Tension
E=10.3*10^6; %psi
Fty=68000; %psi
Ftu=76000; %psi
fnl=linspace(0,Ftu,250);
e0=0.09;
epu=e0-(Ftu/E);
nt=log(epu/.002)/log(Ftu/Fty);
enl=(fnl./E)+(0.002.*((fnl./Fty).^nt));
% Tangent Modulus
dEtan=linspace(.025,.03,50) %Domain for plotting Etan
lownutant=((.002.*E.*nt./Fty)).*((dEtan./Fty).^(nt-1))
a=1
b= a+lownutant limited precision, add big number to extremely small number MATLAB Answers — New Questions
Machine learning onramp, module 3.3, task 3
I am stucked at module 3.3, task 3. This line of code is not working. Kindly help out.
data = readall(preprocds)
plot(data.Time,data.Y)I am stucked at module 3.3, task 3. This line of code is not working. Kindly help out.
data = readall(preprocds)
plot(data.Time,data.Y) I am stucked at module 3.3, task 3. This line of code is not working. Kindly help out.
data = readall(preprocds)
plot(data.Time,data.Y) machine learning onramp, module 3.3, task 3, model, machine learning MATLAB Answers — New Questions
interpreting xcorr for time series plots
i’m using xcorr to work out the lag between two time series.
When I plot the results of xcorr, and ask it to return the maximum lag, the result I get is -58.3.
This is the maximum positive c value, but the spike at 0 into negative c values is the largest overall – is this the result i should be using instead?i’m using xcorr to work out the lag between two time series.
When I plot the results of xcorr, and ask it to return the maximum lag, the result I get is -58.3.
This is the maximum positive c value, but the spike at 0 into negative c values is the largest overall – is this the result i should be using instead? i’m using xcorr to work out the lag between two time series.
When I plot the results of xcorr, and ask it to return the maximum lag, the result I get is -58.3.
This is the maximum positive c value, but the spike at 0 into negative c values is the largest overall – is this the result i should be using instead? xcorr, correlation, lag MATLAB Answers — New Questions
What is the duration of Mathworks Matlab Online student license?
Hello, I use Matlab online for programming. I have run out on my 20 hours per month limit and would like to purchase a basic student version which is USD 115. Please advise me upon the duration of this license – month, year or perpetual? And does it have a limit ont he number of hours per month or unlimited?Hello, I use Matlab online for programming. I have run out on my 20 hours per month limit and would like to purchase a basic student version which is USD 115. Please advise me upon the duration of this license – month, year or perpetual? And does it have a limit ont he number of hours per month or unlimited? Hello, I use Matlab online for programming. I have run out on my 20 hours per month limit and would like to purchase a basic student version which is USD 115. Please advise me upon the duration of this license – month, year or perpetual? And does it have a limit ont he number of hours per month or unlimited? mathworks, matlab online, license duration MATLAB Answers — New Questions
How do I manually configure my network license file for the Network License Manager?
How do I manually configure my network license file for the Network License Manager? How do I manually configure my network license file for the Network License Manager? How do I manually configure my network license file for the Network License Manager? MATLAB Answers — New Questions
Model_X has multiple sample times error
I am getting the following error
‘MyTopLevelModel/SubsystemA/Model’ has multiple sample times. Only constant (inf) or inherited (-1) sample times are allowed in function call subsystem ‘MyTopLevelModel/SubsystemA’.
More info of my setup
SubsystemA has a function call which has a trigger port connected to a port set as "output function call with sample time of 0.001. All my other blocks have sample time -1 (inheritet).
If I go to the model explorer the compiled sample time are not [-1 0] some of the have set the [0.001 0]
Any idea what could be causing this error ?I am getting the following error
‘MyTopLevelModel/SubsystemA/Model’ has multiple sample times. Only constant (inf) or inherited (-1) sample times are allowed in function call subsystem ‘MyTopLevelModel/SubsystemA’.
More info of my setup
SubsystemA has a function call which has a trigger port connected to a port set as "output function call with sample time of 0.001. All my other blocks have sample time -1 (inheritet).
If I go to the model explorer the compiled sample time are not [-1 0] some of the have set the [0.001 0]
Any idea what could be causing this error ? I am getting the following error
‘MyTopLevelModel/SubsystemA/Model’ has multiple sample times. Only constant (inf) or inherited (-1) sample times are allowed in function call subsystem ‘MyTopLevelModel/SubsystemA’.
More info of my setup
SubsystemA has a function call which has a trigger port connected to a port set as "output function call with sample time of 0.001. All my other blocks have sample time -1 (inheritet).
If I go to the model explorer the compiled sample time are not [-1 0] some of the have set the [0.001 0]
Any idea what could be causing this error ? error, time MATLAB Answers — New Questions
Error displayed when starting MATLAB on Linux systems using NVIDIA OR AMD graphics hardware
I’m using Dell precision 7510 with preinstalled Ubuntu 14.04(I have the driver the NVIDIA). I just downloaded the MATLAB R2017a and I run into the following error. I just searched and found it’s not just me who have the same problem. I wonder if this problem is fixable? To put it in another way, could I use all the features provided by MATALB with this error? Additionally, the error also occurs when I use a Linux Ubuntu 17.10 or 18.04 system that has AMD graphics hardware.
Thank you in advance, attached is the error information:
com.jogamp.opengl.GLException: X11GLXDrawableFactory – Could not initialize shared resources for X11GraphicsDevice[type .x11, connection :0, unitID 0, handle 0x0, owner false, ResourceToolkitLock[obj 0x413b9df1, isOwner false, [count 0, qsz 0, owner ]]] at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:326) at jogamp.opengl.SharedResourceRunner.run(SharedResourceRunner.java:297) at java.lang.Thread.run(Unknown Source) Caused by: com.jogamp.opengl.GLException: glXGetConfig(0x1) failed: error code Unknown error code 6 at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.glXGetConfig(X11GLXGraphicsConfiguration.java:570) at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.XVisualInfo2GLCapabilities(X11GLXGraphicsConfiguration.java:500) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationXVisual(X11GLXGraphicsConfigurationFactory.java:434) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationStatic(X11GLXGraphicsConfigurationFactory.java:240) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createMutableSurfaceImpl(X11GLXDrawableFactory.java:524) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createDummySurfaceImpl(X11GLXDrawableFactory.java:535) at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:283) … 2 moreI’m using Dell precision 7510 with preinstalled Ubuntu 14.04(I have the driver the NVIDIA). I just downloaded the MATLAB R2017a and I run into the following error. I just searched and found it’s not just me who have the same problem. I wonder if this problem is fixable? To put it in another way, could I use all the features provided by MATALB with this error? Additionally, the error also occurs when I use a Linux Ubuntu 17.10 or 18.04 system that has AMD graphics hardware.
Thank you in advance, attached is the error information:
com.jogamp.opengl.GLException: X11GLXDrawableFactory – Could not initialize shared resources for X11GraphicsDevice[type .x11, connection :0, unitID 0, handle 0x0, owner false, ResourceToolkitLock[obj 0x413b9df1, isOwner false, [count 0, qsz 0, owner ]]] at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:326) at jogamp.opengl.SharedResourceRunner.run(SharedResourceRunner.java:297) at java.lang.Thread.run(Unknown Source) Caused by: com.jogamp.opengl.GLException: glXGetConfig(0x1) failed: error code Unknown error code 6 at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.glXGetConfig(X11GLXGraphicsConfiguration.java:570) at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.XVisualInfo2GLCapabilities(X11GLXGraphicsConfiguration.java:500) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationXVisual(X11GLXGraphicsConfigurationFactory.java:434) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationStatic(X11GLXGraphicsConfigurationFactory.java:240) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createMutableSurfaceImpl(X11GLXDrawableFactory.java:524) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createDummySurfaceImpl(X11GLXDrawableFactory.java:535) at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:283) … 2 more I’m using Dell precision 7510 with preinstalled Ubuntu 14.04(I have the driver the NVIDIA). I just downloaded the MATLAB R2017a and I run into the following error. I just searched and found it’s not just me who have the same problem. I wonder if this problem is fixable? To put it in another way, could I use all the features provided by MATALB with this error? Additionally, the error also occurs when I use a Linux Ubuntu 17.10 or 18.04 system that has AMD graphics hardware.
Thank you in advance, attached is the error information:
com.jogamp.opengl.GLException: X11GLXDrawableFactory – Could not initialize shared resources for X11GraphicsDevice[type .x11, connection :0, unitID 0, handle 0x0, owner false, ResourceToolkitLock[obj 0x413b9df1, isOwner false, [count 0, qsz 0, owner ]]] at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:326) at jogamp.opengl.SharedResourceRunner.run(SharedResourceRunner.java:297) at java.lang.Thread.run(Unknown Source) Caused by: com.jogamp.opengl.GLException: glXGetConfig(0x1) failed: error code Unknown error code 6 at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.glXGetConfig(X11GLXGraphicsConfiguration.java:570) at jogamp.opengl.x11.glx.X11GLXGraphicsConfiguration.XVisualInfo2GLCapabilities(X11GLXGraphicsConfiguration.java:500) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationXVisual(X11GLXGraphicsConfigurationFactory.java:434) at jogamp.opengl.x11.glx.X11GLXGraphicsConfigurationFactory.chooseGraphicsConfigurationStatic(X11GLXGraphicsConfigurationFactory.java:240) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createMutableSurfaceImpl(X11GLXDrawableFactory.java:524) at jogamp.opengl.x11.glx.X11GLXDrawableFactory.createDummySurfaceImpl(X11GLXDrawableFactory.java:535) at jogamp.opengl.x11.glx.X11GLXDrawableFactory$SharedResourceImplementation.createSharedResource(X11GLXDrawableFactory.java:283) … 2 more linux, ubuntu, amd, graphics, hardware, nvidia MATLAB Answers — New Questions
Change format of field contour labels that have been manually added in a tiled layout
Hi,
Trying to manually add contour labels over a filled contour plot over a narrow range of values.
Matlab returns the error:
Error using hgconvertunits
The reference object is invalid.
Any ideas how I can manually add labels to a tiledlayout?
I also assume there is no workaround for avoiding the contours from striking through the labels when added manually?
Thank you
a = 0.98;
b = 1.02;
Z = round(((b-a).*rand(99,99) + a),2);
XY = [-0.375:.125:.375];
no_levels = 8;
npoints = [99 99]; % define improved resolution
Xfine = linspace(XY(1),XY(end),npoints(1)); % y coords
Yfine = linspace(XY(1),XY(end),npoints(2)); % z coords
[Xfine Yfine] = meshgrid(Xfine,Yfine); % create mesh
tiledlayout(1,2)
for i = 1:2
nexttile(1)
[C,H] = contourf(Xfine,Yfine,Z,no_levels,’-‘);
% clabel(C,H,’interpreter’,’latex’,’FontSize’,14);
% H.LevelList = round(H.LevelList,1); % rounds levels to 1st decimal place
clabel(C,H,"manual",’FontSize’, 22)
hold on
ylim([-0.5 0.5]);
y = ylim;
yticks([y(1):.25:y(2)])
xticks([-.5:.25:.5])
xlim([-.55 .55])
axis square
endHi,
Trying to manually add contour labels over a filled contour plot over a narrow range of values.
Matlab returns the error:
Error using hgconvertunits
The reference object is invalid.
Any ideas how I can manually add labels to a tiledlayout?
I also assume there is no workaround for avoiding the contours from striking through the labels when added manually?
Thank you
a = 0.98;
b = 1.02;
Z = round(((b-a).*rand(99,99) + a),2);
XY = [-0.375:.125:.375];
no_levels = 8;
npoints = [99 99]; % define improved resolution
Xfine = linspace(XY(1),XY(end),npoints(1)); % y coords
Yfine = linspace(XY(1),XY(end),npoints(2)); % z coords
[Xfine Yfine] = meshgrid(Xfine,Yfine); % create mesh
tiledlayout(1,2)
for i = 1:2
nexttile(1)
[C,H] = contourf(Xfine,Yfine,Z,no_levels,’-‘);
% clabel(C,H,’interpreter’,’latex’,’FontSize’,14);
% H.LevelList = round(H.LevelList,1); % rounds levels to 1st decimal place
clabel(C,H,"manual",’FontSize’, 22)
hold on
ylim([-0.5 0.5]);
y = ylim;
yticks([y(1):.25:y(2)])
xticks([-.5:.25:.5])
xlim([-.55 .55])
axis square
end Hi,
Trying to manually add contour labels over a filled contour plot over a narrow range of values.
Matlab returns the error:
Error using hgconvertunits
The reference object is invalid.
Any ideas how I can manually add labels to a tiledlayout?
I also assume there is no workaround for avoiding the contours from striking through the labels when added manually?
Thank you
a = 0.98;
b = 1.02;
Z = round(((b-a).*rand(99,99) + a),2);
XY = [-0.375:.125:.375];
no_levels = 8;
npoints = [99 99]; % define improved resolution
Xfine = linspace(XY(1),XY(end),npoints(1)); % y coords
Yfine = linspace(XY(1),XY(end),npoints(2)); % z coords
[Xfine Yfine] = meshgrid(Xfine,Yfine); % create mesh
tiledlayout(1,2)
for i = 1:2
nexttile(1)
[C,H] = contourf(Xfine,Yfine,Z,no_levels,’-‘);
% clabel(C,H,’interpreter’,’latex’,’FontSize’,14);
% H.LevelList = round(H.LevelList,1); % rounds levels to 1st decimal place
clabel(C,H,"manual",’FontSize’, 22)
hold on
ylim([-0.5 0.5]);
y = ylim;
yticks([y(1):.25:y(2)])
xticks([-.5:.25:.5])
xlim([-.55 .55])
axis square
end contour labels, tiledlayout MATLAB Answers — New Questions
how to reduce ripple
these are the current and voltage values of sepic converter( standalone).
these are the same current and voltages of sepic when connected to the input of grid connected inverter. how can reduce these ripples?these are the current and voltage values of sepic converter( standalone).
these are the same current and voltages of sepic when connected to the input of grid connected inverter. how can reduce these ripples? these are the current and voltage values of sepic converter( standalone).
these are the same current and voltages of sepic when connected to the input of grid connected inverter. how can reduce these ripples? how to reduc ripple in waveform MATLAB Answers — New Questions
How to perform Bonferroni correction on ttest2 comparison of two independent samples?
Hi all!
My question may be simple but I don’t get to perform Bonferroni correction on ttest2 comparison of two random independent samples with equal column number but different row number.
I want to perform ttest2 comparison between each column of my two samples, therefore getting 10 p-values (see example below). But i get the following error "Index in position 1 is invalid. Array indices must be positive integers or logical values".
Once I overcome this error, I would like to perform Bonferroni correction on ttest2 comparison.
So many thanks!!! I’m using Matlab R2022b
% Note that r1 and r2 differ in row number, not column number
r1 = randi(125,200,10); % Random sample 1
r2 = randi(155,100,10); % Random sample 2
% Perform ttest2 comparison, getting 10-pvalues by comparing the 10 columns of r1 and r2
[h,p,ci,stats] = ttest2(r1(i,:),r2(i,:)); % ttest2 comparison of two random, independent samples
results = multcompare(stats,"CriticalValueType","bonferroni") % Bonferroni correction on ttest2Hi all!
My question may be simple but I don’t get to perform Bonferroni correction on ttest2 comparison of two random independent samples with equal column number but different row number.
I want to perform ttest2 comparison between each column of my two samples, therefore getting 10 p-values (see example below). But i get the following error "Index in position 1 is invalid. Array indices must be positive integers or logical values".
Once I overcome this error, I would like to perform Bonferroni correction on ttest2 comparison.
So many thanks!!! I’m using Matlab R2022b
% Note that r1 and r2 differ in row number, not column number
r1 = randi(125,200,10); % Random sample 1
r2 = randi(155,100,10); % Random sample 2
% Perform ttest2 comparison, getting 10-pvalues by comparing the 10 columns of r1 and r2
[h,p,ci,stats] = ttest2(r1(i,:),r2(i,:)); % ttest2 comparison of two random, independent samples
results = multcompare(stats,"CriticalValueType","bonferroni") % Bonferroni correction on ttest2 Hi all!
My question may be simple but I don’t get to perform Bonferroni correction on ttest2 comparison of two random independent samples with equal column number but different row number.
I want to perform ttest2 comparison between each column of my two samples, therefore getting 10 p-values (see example below). But i get the following error "Index in position 1 is invalid. Array indices must be positive integers or logical values".
Once I overcome this error, I would like to perform Bonferroni correction on ttest2 comparison.
So many thanks!!! I’m using Matlab R2022b
% Note that r1 and r2 differ in row number, not column number
r1 = randi(125,200,10); % Random sample 1
r2 = randi(155,100,10); % Random sample 2
% Perform ttest2 comparison, getting 10-pvalues by comparing the 10 columns of r1 and r2
[h,p,ci,stats] = ttest2(r1(i,:),r2(i,:)); % ttest2 comparison of two random, independent samples
results = multcompare(stats,"CriticalValueType","bonferroni") % Bonferroni correction on ttest2 multcompare, bonferroni, ttest2, two independent samples MATLAB Answers — New Questions
When I close the figure or eeglab, the program becomes unresponsive
After updating MacOS to Sonoma 14.1, I noticed that the program becomes unresponsive when I close a figure or eeglab.
I tried reinstalling Matlab, but I still encountered the same issue. I suspect it might be related to the recent update.
Has anyone else experienced this situation?
More information:
Macbook Air M1, 512GB, 8G RAM
Matlab R2023b (Apple silicon)After updating MacOS to Sonoma 14.1, I noticed that the program becomes unresponsive when I close a figure or eeglab.
I tried reinstalling Matlab, but I still encountered the same issue. I suspect it might be related to the recent update.
Has anyone else experienced this situation?
More information:
Macbook Air M1, 512GB, 8G RAM
Matlab R2023b (Apple silicon) After updating MacOS to Sonoma 14.1, I noticed that the program becomes unresponsive when I close a figure or eeglab.
I tried reinstalling Matlab, but I still encountered the same issue. I suspect it might be related to the recent update.
Has anyone else experienced this situation?
More information:
Macbook Air M1, 512GB, 8G RAM
Matlab R2023b (Apple silicon) macos, sonoma, eeglab, figure MATLAB Answers — New Questions
How to solve for 1D non homogenous ODE by Finite element method
I am unable to input the dirichlet condition into this non homogenous ode. Please point out my mistake.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% -u" + u = – 5x + 4 0 < x <= 1 %%%%
%%%% u(0) = 0, u(1) = 2 %%%%
%%%% Exact solution u = (exp(x)*(3*exp(1) + 4))/(exp(2) – 1) – 5*x – (exp(-x)*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4 %%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all;
close all;
format long;
N = 20;
x0 = 0;
xN = 1;
h = 1/N;
for j = 1:N+1
X(j) = x0 + (j-1)*h;
end
f = @(x)(- 5*x +4);
A = zeros(N+1,N+1);
F = zeros(N+1,1);
%%%% Local stiffness matrix %%%%
a = [1/h -1/h ; -1/h 1/h] ;
for i=1:N
phi1 = @(x)(X(i+1)-x)/h; %%%% linear basis function %%%%
phi2 = @(x)(x-X(i))/h; %%%% linear basis function %%%%
f1 = @(x)f(x)*phi1(x); %%%% integrand for load vector %%%%
f2 = @(x)f(x)*phi2(x); %%%% integrand for load vector %%%%
v(1,i) = gauss(f1,X(i),X(i+1),1); %%%% element wise values of
v(2,i) = gauss(f2,X(i),X(i+1),1); %%%% load vector
end
%%%% Assembling %%%%
for i=1:N
A([i i+1],[i i+1]) = A([i i+1],[i i+1]) + a;
F([i i+1],1) = F([i i+1],1) + v([1 2],i);
end
%%%% Dirichlet Boundary condition %%%%
% F(N+1,1) = F(N+1,1)+2;
fullnodes = [1:N+1];
%%%%% Dirichlet boundary condition %%%%%
freenodes=setdiff(fullnodes,[1]);
Uh = zeros(N+1,1);
Uh(N+1,1) = 2;
%%%% Approximate solution %%%%
Uh(freenodes)=A(freenodes,freenodes)F(freenodes,1);
%%%% Exact solution %%%%
U = zeros(N+1,1);
for i =1:N+1
U(i) = (exp(X(i))*(3*exp(1) + 4))/(exp(2) – 1) – 5*X(i) – (exp(-X(i))*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4;
end
error = max(abs(U-Uh));
[U Uh]
plot(X,U,X,Uh,’o’)I am unable to input the dirichlet condition into this non homogenous ode. Please point out my mistake.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% -u" + u = – 5x + 4 0 < x <= 1 %%%%
%%%% u(0) = 0, u(1) = 2 %%%%
%%%% Exact solution u = (exp(x)*(3*exp(1) + 4))/(exp(2) – 1) – 5*x – (exp(-x)*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4 %%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all;
close all;
format long;
N = 20;
x0 = 0;
xN = 1;
h = 1/N;
for j = 1:N+1
X(j) = x0 + (j-1)*h;
end
f = @(x)(- 5*x +4);
A = zeros(N+1,N+1);
F = zeros(N+1,1);
%%%% Local stiffness matrix %%%%
a = [1/h -1/h ; -1/h 1/h] ;
for i=1:N
phi1 = @(x)(X(i+1)-x)/h; %%%% linear basis function %%%%
phi2 = @(x)(x-X(i))/h; %%%% linear basis function %%%%
f1 = @(x)f(x)*phi1(x); %%%% integrand for load vector %%%%
f2 = @(x)f(x)*phi2(x); %%%% integrand for load vector %%%%
v(1,i) = gauss(f1,X(i),X(i+1),1); %%%% element wise values of
v(2,i) = gauss(f2,X(i),X(i+1),1); %%%% load vector
end
%%%% Assembling %%%%
for i=1:N
A([i i+1],[i i+1]) = A([i i+1],[i i+1]) + a;
F([i i+1],1) = F([i i+1],1) + v([1 2],i);
end
%%%% Dirichlet Boundary condition %%%%
% F(N+1,1) = F(N+1,1)+2;
fullnodes = [1:N+1];
%%%%% Dirichlet boundary condition %%%%%
freenodes=setdiff(fullnodes,[1]);
Uh = zeros(N+1,1);
Uh(N+1,1) = 2;
%%%% Approximate solution %%%%
Uh(freenodes)=A(freenodes,freenodes)F(freenodes,1);
%%%% Exact solution %%%%
U = zeros(N+1,1);
for i =1:N+1
U(i) = (exp(X(i))*(3*exp(1) + 4))/(exp(2) – 1) – 5*X(i) – (exp(-X(i))*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4;
end
error = max(abs(U-Uh));
[U Uh]
plot(X,U,X,Uh,’o’) I am unable to input the dirichlet condition into this non homogenous ode. Please point out my mistake.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% -u" + u = – 5x + 4 0 < x <= 1 %%%%
%%%% u(0) = 0, u(1) = 2 %%%%
%%%% Exact solution u = (exp(x)*(3*exp(1) + 4))/(exp(2) – 1) – 5*x – (exp(-x)*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4 %%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all;
close all;
format long;
N = 20;
x0 = 0;
xN = 1;
h = 1/N;
for j = 1:N+1
X(j) = x0 + (j-1)*h;
end
f = @(x)(- 5*x +4);
A = zeros(N+1,N+1);
F = zeros(N+1,1);
%%%% Local stiffness matrix %%%%
a = [1/h -1/h ; -1/h 1/h] ;
for i=1:N
phi1 = @(x)(X(i+1)-x)/h; %%%% linear basis function %%%%
phi2 = @(x)(x-X(i))/h; %%%% linear basis function %%%%
f1 = @(x)f(x)*phi1(x); %%%% integrand for load vector %%%%
f2 = @(x)f(x)*phi2(x); %%%% integrand for load vector %%%%
v(1,i) = gauss(f1,X(i),X(i+1),1); %%%% element wise values of
v(2,i) = gauss(f2,X(i),X(i+1),1); %%%% load vector
end
%%%% Assembling %%%%
for i=1:N
A([i i+1],[i i+1]) = A([i i+1],[i i+1]) + a;
F([i i+1],1) = F([i i+1],1) + v([1 2],i);
end
%%%% Dirichlet Boundary condition %%%%
% F(N+1,1) = F(N+1,1)+2;
fullnodes = [1:N+1];
%%%%% Dirichlet boundary condition %%%%%
freenodes=setdiff(fullnodes,[1]);
Uh = zeros(N+1,1);
Uh(N+1,1) = 2;
%%%% Approximate solution %%%%
Uh(freenodes)=A(freenodes,freenodes)F(freenodes,1);
%%%% Exact solution %%%%
U = zeros(N+1,1);
for i =1:N+1
U(i) = (exp(X(i))*(3*exp(1) + 4))/(exp(2) – 1) – 5*X(i) – (exp(-X(i))*(3*exp(1) + 4*exp(2)))/(exp(2) – 1) + 4;
end
error = max(abs(U-Uh));
[U Uh]
plot(X,U,X,Uh,’o’) finite element method MATLAB Answers — New Questions
Why the Kf_LMax value is increased beyond its limits. Is their is any logical error Kindly help me out .
Why the Kf_LMax value is increased beyond its limits. Is their is any logical error Kindly help me out .
% Define parameters
Kf_Max = 100; % maximum forward rate
RLC = [0.1, 0.5, 10, 5, 10, 1]; % RLC values
TauKf_ON = -0.01; % TauKf_ON
TauKf_OFF = -0.01; % TauKf_OFF
PhaseTimes = [0, 500, 1000, 2000, 3000, 4000, 5000]; % phase times (each row defines a phase)
% Generate time vector
t = 0:0.01:5000;
% Call the function to compute receptor concentrations and Kf
[ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t);
% Plotting
figure;
% Plot Kf_LMax
plot(t, Kf_LMax, ‘b’, ‘LineWidth’, 1.5);
title(‘Kf_LMax over Time’);
xlabel(‘Time’);
ylabel(‘Kf_LMax’);
grid on;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t)
% Initialize output variables
Kf_LMax = zeros(size(t));
% Calculate Kf_L for each time step
for i = 1:length(t)
Kf_LMax(i) = calculate_kf(t(i), PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF);
end
% Nested function for calculating Kf_L based on time
function Kf_L = calculate_kf(t_current, PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF)
% Calculate maximum Kf_L based on RLC values using Element wise
% division
Kf_LMax_values = Kf_Max * (RLC ./ (1 + RLC));
% Default Kf_L to the maximum value of the first phase
Kf_L = Kf_LMax_values(1);
% Number of phases
num_phases = numel(RLC);
% Iterate through each phase to determine the current phase based on time
for j = 1:num_phases
T_start = PhaseTimes(j); % Start time of the current phase
if j < num_phases
T_end = PhaseTimes(j + 1); % End time of the current phase
else
T_end = inf; % Handle last phase separately
end
% Check if the current time t_current is within the current phase
if t_current >= T_start && t_current < T_end
if j == 1
% For the first phase, use the maximum value directly
Kf_L = Kf_LMax_values(j);
else
% Time at the end of the previous phase
% prev_end = PhaseTimes(j – 1);
if j < num_phases
% Check RLC conditions and compute Kf_L
if RLC(j – 1) < RLC(j) && RLC(j) > RLC(j + 1)
% Peak condition
Kf_endA = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endA – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * ( t_current – T_start));
elseif RLC(j – 1) < RLC(j) && RLC(j) < RLC(j + 1)
% Increasing RLC condition
Kf_endB = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endB – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j) && RLC(j) < RLC(j + 1)
% Decreasing RLC condition
Kf_endC = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endC – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
elseif RLC(j – 1) > RLC(j) && RLC(j) >= RLC(j + 1)
% Flat or decreasing RLC condition
Kf_endD = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endD – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
end
else
% % % Handling for the last phase
if RLC(j – 1) < RLC(j)
Kf_end1 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start) Kf_L = Kf_LMax_values(j) + (Kf_end1 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j)
Kf_end2 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_end2 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
end
end
end
return; % Exit the function after finding the correct phase
end
end
end
endWhy the Kf_LMax value is increased beyond its limits. Is their is any logical error Kindly help me out .
% Define parameters
Kf_Max = 100; % maximum forward rate
RLC = [0.1, 0.5, 10, 5, 10, 1]; % RLC values
TauKf_ON = -0.01; % TauKf_ON
TauKf_OFF = -0.01; % TauKf_OFF
PhaseTimes = [0, 500, 1000, 2000, 3000, 4000, 5000]; % phase times (each row defines a phase)
% Generate time vector
t = 0:0.01:5000;
% Call the function to compute receptor concentrations and Kf
[ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t);
% Plotting
figure;
% Plot Kf_LMax
plot(t, Kf_LMax, ‘b’, ‘LineWidth’, 1.5);
title(‘Kf_LMax over Time’);
xlabel(‘Time’);
ylabel(‘Kf_LMax’);
grid on;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t)
% Initialize output variables
Kf_LMax = zeros(size(t));
% Calculate Kf_L for each time step
for i = 1:length(t)
Kf_LMax(i) = calculate_kf(t(i), PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF);
end
% Nested function for calculating Kf_L based on time
function Kf_L = calculate_kf(t_current, PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF)
% Calculate maximum Kf_L based on RLC values using Element wise
% division
Kf_LMax_values = Kf_Max * (RLC ./ (1 + RLC));
% Default Kf_L to the maximum value of the first phase
Kf_L = Kf_LMax_values(1);
% Number of phases
num_phases = numel(RLC);
% Iterate through each phase to determine the current phase based on time
for j = 1:num_phases
T_start = PhaseTimes(j); % Start time of the current phase
if j < num_phases
T_end = PhaseTimes(j + 1); % End time of the current phase
else
T_end = inf; % Handle last phase separately
end
% Check if the current time t_current is within the current phase
if t_current >= T_start && t_current < T_end
if j == 1
% For the first phase, use the maximum value directly
Kf_L = Kf_LMax_values(j);
else
% Time at the end of the previous phase
% prev_end = PhaseTimes(j – 1);
if j < num_phases
% Check RLC conditions and compute Kf_L
if RLC(j – 1) < RLC(j) && RLC(j) > RLC(j + 1)
% Peak condition
Kf_endA = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endA – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * ( t_current – T_start));
elseif RLC(j – 1) < RLC(j) && RLC(j) < RLC(j + 1)
% Increasing RLC condition
Kf_endB = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endB – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j) && RLC(j) < RLC(j + 1)
% Decreasing RLC condition
Kf_endC = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endC – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
elseif RLC(j – 1) > RLC(j) && RLC(j) >= RLC(j + 1)
% Flat or decreasing RLC condition
Kf_endD = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endD – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
end
else
% % % Handling for the last phase
if RLC(j – 1) < RLC(j)
Kf_end1 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start) Kf_L = Kf_LMax_values(j) + (Kf_end1 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j)
Kf_end2 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_end2 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
end
end
end
return; % Exit the function after finding the correct phase
end
end
end
end Why the Kf_LMax value is increased beyond its limits. Is their is any logical error Kindly help me out .
% Define parameters
Kf_Max = 100; % maximum forward rate
RLC = [0.1, 0.5, 10, 5, 10, 1]; % RLC values
TauKf_ON = -0.01; % TauKf_ON
TauKf_OFF = -0.01; % TauKf_OFF
PhaseTimes = [0, 500, 1000, 2000, 3000, 4000, 5000]; % phase times (each row defines a phase)
% Generate time vector
t = 0:0.01:5000;
% Call the function to compute receptor concentrations and Kf
[ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t);
% Plotting
figure;
% Plot Kf_LMax
plot(t, Kf_LMax, ‘b’, ‘LineWidth’, 1.5);
title(‘Kf_LMax over Time’);
xlabel(‘Time’);
ylabel(‘Kf_LMax’);
grid on;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ Kf_LMax] = Kf_Cal(Kf_Max, RLC, TauKf_ON, TauKf_OFF, PhaseTimes, t)
% Initialize output variables
Kf_LMax = zeros(size(t));
% Calculate Kf_L for each time step
for i = 1:length(t)
Kf_LMax(i) = calculate_kf(t(i), PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF);
end
% Nested function for calculating Kf_L based on time
function Kf_L = calculate_kf(t_current, PhaseTimes, Kf_Max, RLC, TauKf_ON, TauKf_OFF)
% Calculate maximum Kf_L based on RLC values using Element wise
% division
Kf_LMax_values = Kf_Max * (RLC ./ (1 + RLC));
% Default Kf_L to the maximum value of the first phase
Kf_L = Kf_LMax_values(1);
% Number of phases
num_phases = numel(RLC);
% Iterate through each phase to determine the current phase based on time
for j = 1:num_phases
T_start = PhaseTimes(j); % Start time of the current phase
if j < num_phases
T_end = PhaseTimes(j + 1); % End time of the current phase
else
T_end = inf; % Handle last phase separately
end
% Check if the current time t_current is within the current phase
if t_current >= T_start && t_current < T_end
if j == 1
% For the first phase, use the maximum value directly
Kf_L = Kf_LMax_values(j);
else
% Time at the end of the previous phase
% prev_end = PhaseTimes(j – 1);
if j < num_phases
% Check RLC conditions and compute Kf_L
if RLC(j – 1) < RLC(j) && RLC(j) > RLC(j + 1)
% Peak condition
Kf_endA = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endA – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * ( t_current – T_start));
elseif RLC(j – 1) < RLC(j) && RLC(j) < RLC(j + 1)
% Increasing RLC condition
Kf_endB = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endB – Kf_LMax_values(j – 1)) *exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j) && RLC(j) < RLC(j + 1)
% Decreasing RLC condition
Kf_endC = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endC – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
elseif RLC(j – 1) > RLC(j) && RLC(j) >= RLC(j + 1)
% Flat or decreasing RLC condition
Kf_endD = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_endD – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start ));
end
else
% % % Handling for the last phase
if RLC(j – 1) < RLC(j)
Kf_end1 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start) Kf_L = Kf_LMax_values(j) + (Kf_end1 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
elseif RLC(j – 1) > RLC(j)
Kf_end2 = Kf_LMax_values(j) – (Kf_LMax_values(j) – Kf_LMax_values(j – 1)) * exp(TauKf_ON * (t_current – T_start));
Kf_L = Kf_LMax_values(j) + (Kf_end2 – Kf_LMax_values(j – 1)) * exp(TauKf_OFF * (t_current – T_start));
end
end
end
return; % Exit the function after finding the correct phase
end
end
end
end graph MATLAB Answers — New Questions
