Why this error, Not able to highlight because model changed error during Coverage analysis

With every model I used.Why this error, Not able to highlight because model changed error during Coverage analysis

With every model I used. Why this error, Not able to highlight because model changed error during Coverage analysis

With every model I used. coverage, modeling properties, simulink MATLAB Answers — New Questions

​

I am post-processing Abaqus data on Matlab. Overall the data looks good, however, in some areas it seems to be jiggly.

I’ve looked up for the causes, but couldn’t.

Help me please.I am post-processing Abaqus data on Matlab. Overall the data looks good, however, in some areas it seems to be jiggly.

I’ve looked up for the causes, but couldn’t.

Help me please. I am post-processing Abaqus data on Matlab. Overall the data looks good, however, in some areas it seems to be jiggly.

I’ve looked up for the causes, but couldn’t.

Help me please. postprocessing MATLAB Answers — New Questions

​

Hi:

I’m having a hard time understanding the difference between the PID block and the "manual" PID. For better understanding see the enclosed image. The gains are the same for both systems (same transfer function) but for some reason the result is not the same. What could be wrong?

<</matlabcentral/answers/uploaded_files/6343/Question.png>>Hi:

I’m having a hard time understanding the difference between the PID block and the "manual" PID. For better understanding see the enclosed image. The gains are the same for both systems (same transfer function) but for some reason the result is not the same. What could be wrong?

<</matlabcentral/answers/uploaded_files/6343/Question.png>> Hi:

I’m having a hard time understanding the difference between the PID block and the "manual" PID. For better understanding see the enclosed image. The gains are the same for both systems (same transfer function) but for some reason the result is not the same. What could be wrong?

<</matlabcentral/answers/uploaded_files/6343/Question.png>> simulink, pid MATLAB Answers — New Questions

​

Hi everybody!
I’m trying to solve a fitting curve problem concerning a double-exponential fit.
I have this data set (Data.txt) that behaves like a bi-exponential function following a resting condition. Therefore, since x<0 the signal is almost steady whereas, for x>0 the signal presents a first exponential phase (lasting about 20 sec) followed by a second exponential phase.
The problem is that the resulting fitting does not model the signal behavior in the correct way. Specifically, the first exp phase is too short and/or too low even though correct StartingPoint and Upper and Lower limits are set.
Lastly, I’ve written two algorithms with and without "Exclude" options. The second one presents a strange pattern at the onset of the second exp function.
I’ll appreciate any suggestions.

This is the code.

[x, y] = readvars(‘prova.txt’);

tRest = abs(min(x)); % Resting phase duration (sec)
cdp = 20; % estimated duration (sec) of CardioDynamicPhase (cdp)
cdpEpoch = 5; % epoch duration (sec) to compute mean value of amplitude of cdp
plot(x,y);

% Fitting StartingPoint
yRest = mean( y(1:tRest-1) ); % y value at resting condition before exp onset

A1start = mean( y(1:tRest+cdp-cdpEpoch):y(tRest+cdp) )-yRest; % mean y value of the last 5sec of the cardiodynamic phase
TD1start = 0; % starting value (sec) of the first exponential phase onset
tau1Start = 8; % starting value (sec) of the first exponential phase time constant

A2start = max(y)-A1start-yRest; % starting value of the second exponential phase amplitude
TD2start = 30; % starting value (sec) of the second exponential phase onset
tau2Start = 30; % starting value (sec) of the second exponential phase time constant

% Fitting from exponential onset
g = fittype( @(A1, TD1, tau1, A2, TD2, tau2, yRest, x) yRest+A1.*(1-exp(-(x-TD1)/tau1))+A2.*(1-exp(-(x-TD2)/tau2)), ‘problem’, ‘yRest’);
f1 = fit( x(tRest:size(x,1)), y(tRest:size(x,1)), g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ A1start-100, 0, 5, A2start-200, 10, 10], ‘upper’, [ A1start+200, 20, 40, max(y), 60, 40], ‘MaxIter’, 10000);
pg =coeffvalues(f1);
A1 = pg(1);
TD1 = pg(2);
tau1 = pg(3);
A2 = pg(4);
TD2 = pg(5);
tau2 = pg(6);

yFit( 1:(tRest+floor(TD1)) ) = yRest;
yFit( tRest+floor(TD1)+1 : tRest+floor(TD2) ) = yRest + A1.*(1-exp(-( x(tRest+floor(TD1)+1 : tRest+floor(TD2))-TD1 )/tau1));
yFit( tRest+floor(TD2)+1 : size(y,1)) = yFit(tRest+floor(TD2))+ A2.*(1-exp(-( x(tRest+floor(TD2)+1 : size(y,1))-TD2 )/tau2));

% fitting using Exclude option
f2 = fit( x, y, g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ 390, 0, 5, A2start-200, 10, 10], ‘upper’, [ 400, 20, 40, max(y), 60, 40], ‘Exclude’, x<0); %Same fitting algortihm that exclude negative x values
pg2=coeffvalues(f2);

A1e = pg2(1);
TD1e = pg2(2);
tau1e = pg2(3);
A2e = pg2(4);
TD2e = pg2(5);
tau2e = pg2(6);

yFite( 1:(tRest+floor(TD1e)) ) = yRest;
yFite( tRest+floor(TD1e)+1 : tRest+floor(TD2e) ) = yRest + A1e.*(1-exp(-( x(tRest+floor(TD1e)+1 : tRest+floor(TD2e))-TD1e )/tau1e));
yFite( tRest+floor(TD2e)+1 : size(y,1)) = yFit(tRest+floor(TD2e))+ A2e.*(1-exp(-( x(tRest+floor(TD2e)+1 : size(y,1))-TD2e )/tau2e));

% Plot the fitting curves
hold on
plot (x, yFit, ‘r’);
plot (x, yFite, ‘k’);Hi everybody!
I’m trying to solve a fitting curve problem concerning a double-exponential fit.
I have this data set (Data.txt) that behaves like a bi-exponential function following a resting condition. Therefore, since x<0 the signal is almost steady whereas, for x>0 the signal presents a first exponential phase (lasting about 20 sec) followed by a second exponential phase.
The problem is that the resulting fitting does not model the signal behavior in the correct way. Specifically, the first exp phase is too short and/or too low even though correct StartingPoint and Upper and Lower limits are set.
Lastly, I’ve written two algorithms with and without "Exclude" options. The second one presents a strange pattern at the onset of the second exp function.
I’ll appreciate any suggestions.

This is the code.

[x, y] = readvars(‘prova.txt’);

tRest = abs(min(x)); % Resting phase duration (sec)
cdp = 20; % estimated duration (sec) of CardioDynamicPhase (cdp)
cdpEpoch = 5; % epoch duration (sec) to compute mean value of amplitude of cdp
plot(x,y);

% Fitting StartingPoint
yRest = mean( y(1:tRest-1) ); % y value at resting condition before exp onset

A1start = mean( y(1:tRest+cdp-cdpEpoch):y(tRest+cdp) )-yRest; % mean y value of the last 5sec of the cardiodynamic phase
TD1start = 0; % starting value (sec) of the first exponential phase onset
tau1Start = 8; % starting value (sec) of the first exponential phase time constant

A2start = max(y)-A1start-yRest; % starting value of the second exponential phase amplitude
TD2start = 30; % starting value (sec) of the second exponential phase onset
tau2Start = 30; % starting value (sec) of the second exponential phase time constant

% Fitting from exponential onset
g = fittype( @(A1, TD1, tau1, A2, TD2, tau2, yRest, x) yRest+A1.*(1-exp(-(x-TD1)/tau1))+A2.*(1-exp(-(x-TD2)/tau2)), ‘problem’, ‘yRest’);
f1 = fit( x(tRest:size(x,1)), y(tRest:size(x,1)), g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ A1start-100, 0, 5, A2start-200, 10, 10], ‘upper’, [ A1start+200, 20, 40, max(y), 60, 40], ‘MaxIter’, 10000);
pg =coeffvalues(f1);
A1 = pg(1);
TD1 = pg(2);
tau1 = pg(3);
A2 = pg(4);
TD2 = pg(5);
tau2 = pg(6);

yFit( 1:(tRest+floor(TD1)) ) = yRest;
yFit( tRest+floor(TD1)+1 : tRest+floor(TD2) ) = yRest + A1.*(1-exp(-( x(tRest+floor(TD1)+1 : tRest+floor(TD2))-TD1 )/tau1));
yFit( tRest+floor(TD2)+1 : size(y,1)) = yFit(tRest+floor(TD2))+ A2.*(1-exp(-( x(tRest+floor(TD2)+1 : size(y,1))-TD2 )/tau2));

% fitting using Exclude option
f2 = fit( x, y, g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ 390, 0, 5, A2start-200, 10, 10], ‘upper’, [ 400, 20, 40, max(y), 60, 40], ‘Exclude’, x<0); %Same fitting algortihm that exclude negative x values
pg2=coeffvalues(f2);

A1e = pg2(1);
TD1e = pg2(2);
tau1e = pg2(3);
A2e = pg2(4);
TD2e = pg2(5);
tau2e = pg2(6);

yFite( 1:(tRest+floor(TD1e)) ) = yRest;
yFite( tRest+floor(TD1e)+1 : tRest+floor(TD2e) ) = yRest + A1e.*(1-exp(-( x(tRest+floor(TD1e)+1 : tRest+floor(TD2e))-TD1e )/tau1e));
yFite( tRest+floor(TD2e)+1 : size(y,1)) = yFit(tRest+floor(TD2e))+ A2e.*(1-exp(-( x(tRest+floor(TD2e)+1 : size(y,1))-TD2e )/tau2e));

% Plot the fitting curves
hold on
plot (x, yFit, ‘r’);
plot (x, yFite, ‘k’); Hi everybody!
I’m trying to solve a fitting curve problem concerning a double-exponential fit.
I have this data set (Data.txt) that behaves like a bi-exponential function following a resting condition. Therefore, since x<0 the signal is almost steady whereas, for x>0 the signal presents a first exponential phase (lasting about 20 sec) followed by a second exponential phase.
The problem is that the resulting fitting does not model the signal behavior in the correct way. Specifically, the first exp phase is too short and/or too low even though correct StartingPoint and Upper and Lower limits are set.
Lastly, I’ve written two algorithms with and without "Exclude" options. The second one presents a strange pattern at the onset of the second exp function.
I’ll appreciate any suggestions.

This is the code.

[x, y] = readvars(‘prova.txt’);

tRest = abs(min(x)); % Resting phase duration (sec)
cdp = 20; % estimated duration (sec) of CardioDynamicPhase (cdp)
cdpEpoch = 5; % epoch duration (sec) to compute mean value of amplitude of cdp
plot(x,y);

% Fitting StartingPoint
yRest = mean( y(1:tRest-1) ); % y value at resting condition before exp onset

A1start = mean( y(1:tRest+cdp-cdpEpoch):y(tRest+cdp) )-yRest; % mean y value of the last 5sec of the cardiodynamic phase
TD1start = 0; % starting value (sec) of the first exponential phase onset
tau1Start = 8; % starting value (sec) of the first exponential phase time constant

A2start = max(y)-A1start-yRest; % starting value of the second exponential phase amplitude
TD2start = 30; % starting value (sec) of the second exponential phase onset
tau2Start = 30; % starting value (sec) of the second exponential phase time constant

% Fitting from exponential onset
g = fittype( @(A1, TD1, tau1, A2, TD2, tau2, yRest, x) yRest+A1.*(1-exp(-(x-TD1)/tau1))+A2.*(1-exp(-(x-TD2)/tau2)), ‘problem’, ‘yRest’);
f1 = fit( x(tRest:size(x,1)), y(tRest:size(x,1)), g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ A1start-100, 0, 5, A2start-200, 10, 10], ‘upper’, [ A1start+200, 20, 40, max(y), 60, 40], ‘MaxIter’, 10000);
pg =coeffvalues(f1);
A1 = pg(1);
TD1 = pg(2);
tau1 = pg(3);
A2 = pg(4);
TD2 = pg(5);
tau2 = pg(6);

yFit( 1:(tRest+floor(TD1)) ) = yRest;
yFit( tRest+floor(TD1)+1 : tRest+floor(TD2) ) = yRest + A1.*(1-exp(-( x(tRest+floor(TD1)+1 : tRest+floor(TD2))-TD1 )/tau1));
yFit( tRest+floor(TD2)+1 : size(y,1)) = yFit(tRest+floor(TD2))+ A2.*(1-exp(-( x(tRest+floor(TD2)+1 : size(y,1))-TD2 )/tau2));

% fitting using Exclude option
f2 = fit( x, y, g, ‘problem’, yRest, ‘StartPoint’, [A1start, TD1start, tau1Start, A2start, TD2start, tau2Start], ‘lower’ , [ 390, 0, 5, A2start-200, 10, 10], ‘upper’, [ 400, 20, 40, max(y), 60, 40], ‘Exclude’, x<0); %Same fitting algortihm that exclude negative x values
pg2=coeffvalues(f2);

A1e = pg2(1);
TD1e = pg2(2);
tau1e = pg2(3);
A2e = pg2(4);
TD2e = pg2(5);
tau2e = pg2(6);

yFite( 1:(tRest+floor(TD1e)) ) = yRest;
yFite( tRest+floor(TD1e)+1 : tRest+floor(TD2e) ) = yRest + A1e.*(1-exp(-( x(tRest+floor(TD1e)+1 : tRest+floor(TD2e))-TD1e )/tau1e));
yFite( tRest+floor(TD2e)+1 : size(y,1)) = yFit(tRest+floor(TD2e))+ A2e.*(1-exp(-( x(tRest+floor(TD2e)+1 : size(y,1))-TD2e )/tau2e));

% Plot the fitting curves
hold on
plot (x, yFit, ‘r’);
plot (x, yFite, ‘k’); signal fitting MATLAB Answers — New Questions

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Error in port widths or dimensions. Output port 1 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/From2’ is a one dimensional vector with 2 elements.

AND

Error in port widths or dimensions. Invalid dimension has been specified for input port 2 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/Mux’.

I am using MATLAB 2010a. problem occurred in the switching circuit of invert.
Anticipating your answers…

<</matlabcentral/answers/uploaded_files/38534/1.png>>

<</matlabcentral/answers/uploaded_files/38535/2.png>>Error in port widths or dimensions. Output port 1 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/From2’ is a one dimensional vector with 2 elements.

AND

Error in port widths or dimensions. Invalid dimension has been specified for input port 2 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/Mux’.

I am using MATLAB 2010a. problem occurred in the switching circuit of invert.
Anticipating your answers…

<</matlabcentral/answers/uploaded_files/38534/1.png>>

<</matlabcentral/answers/uploaded_files/38535/2.png>> Error in port widths or dimensions. Output port 1 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/From2’ is a one dimensional vector with 2 elements.

AND

Error in port widths or dimensions. Invalid dimension has been specified for input port 2 of ‘last/Subsystem/powergui/EquivalentModel1/Gates/Mux’.

I am using MATLAB 2010a. problem occurred in the switching circuit of invert.
Anticipating your answers…

<</matlabcentral/answers/uploaded_files/38534/1.png>>

<</matlabcentral/answers/uploaded_files/38535/2.png>>  MATLAB Answers — New Questions

​

Hello everyone,
I made a state space representation with disturbances using blocks in simulink, then I connected this state space to model predictive control, and when I run the system it gives an error as shown below: the red spot in the figure is where the error is,

and my state space model is as follow:

so A, B, C and D and Bd should be correct as I made them, right?Hello everyone,
I made a state space representation with disturbances using blocks in simulink, then I connected this state space to model predictive control, and when I run the system it gives an error as shown below: the red spot in the figure is where the error is,

and my state space model is as follow:

so A, B, C and D and Bd should be correct as I made them, right? Hello everyone,
I made a state space representation with disturbances using blocks in simulink, then I connected this state space to model predictive control, and when I run the system it gives an error as shown below: the red spot in the figure is where the error is,

and my state space model is as follow:

so A, B, C and D and Bd should be correct as I made them, right? matlab, simulink, model predictive controller, state space representation MATLAB Answers — New Questions

​

Hi i am looking to try calculate the latitude and longitude of a point on the ground with respect to an aircraft which has a lat lon but obviously at a specific height, a azmiuth and elevation look angle and also range to the point on ground ( all known ) .

[latout, lonout] = reckon(lat, lon, rng, az)

e.g from help section

dist = nm2deg(600) % convert nm distance to degrees

dist =
9.9933

pt1 = reckon(51.5,0,dist,315) % northwest is 315 degrees

pt1 =
57.8999 -13.3507

The reckon function seems to do near enough exactly what i want but does not take in account elevation angle ( i.e assumes both points are on the ground)

Is there any function similar that i can achieve being able to add in an elevation angle to the calculation, or change the reckon function in anyway?

Any help much appreciatedHi i am looking to try calculate the latitude and longitude of a point on the ground with respect to an aircraft which has a lat lon but obviously at a specific height, a azmiuth and elevation look angle and also range to the point on ground ( all known ) .

[latout, lonout] = reckon(lat, lon, rng, az)

e.g from help section

dist = nm2deg(600) % convert nm distance to degrees

dist =
9.9933

pt1 = reckon(51.5,0,dist,315) % northwest is 315 degrees

pt1 =
57.8999 -13.3507

The reckon function seems to do near enough exactly what i want but does not take in account elevation angle ( i.e assumes both points are on the ground)

Is there any function similar that i can achieve being able to add in an elevation angle to the calculation, or change the reckon function in anyway?

Any help much appreciated Hi i am looking to try calculate the latitude and longitude of a point on the ground with respect to an aircraft which has a lat lon but obviously at a specific height, a azmiuth and elevation look angle and also range to the point on ground ( all known ) .

[latout, lonout] = reckon(lat, lon, rng, az)

e.g from help section

dist = nm2deg(600) % convert nm distance to degrees

dist =
9.9933

pt1 = reckon(51.5,0,dist,315) % northwest is 315 degrees

pt1 =
57.8999 -13.3507

The reckon function seems to do near enough exactly what i want but does not take in account elevation angle ( i.e assumes both points are on the ground)

Is there any function similar that i can achieve being able to add in an elevation angle to the calculation, or change the reckon function in anyway?

Any help much appreciated reckon MATLAB Answers — New Questions

​

Hi, Simulink supporters team
I want to print my Entire model as pdf by MATLAB script instead of By Print Option in Simulnik Toolstrip. I have tried 2 ways:
1.Using print( ) function but it only print first page of my model
2. Using exportgraphics( ) but it does not support for Simulink model.
So, is there any way to solve this problem?Hi, Simulink supporters team
I want to print my Entire model as pdf by MATLAB script instead of By Print Option in Simulnik Toolstrip. I have tried 2 ways:
1.Using print( ) function but it only print first page of my model
2. Using exportgraphics( ) but it does not support for Simulink model.
So, is there any way to solve this problem? Hi, Simulink supporters team
I want to print my Entire model as pdf by MATLAB script instead of By Print Option in Simulnik Toolstrip. I have tried 2 ways:
1.Using print( ) function but it only print first page of my model
2. Using exportgraphics( ) but it does not support for Simulink model.
So, is there any way to solve this problem? print, model, matlab, command MATLAB Answers — New Questions

​

How can I get the ADSR sample points of a audio file…Like:

"Fake" example:

[Amp, SR] = audioread(audio.file);

[a d s r] = get_ADSR(Amp);

% Results: The sample position of the Amp vector:
a = 85 % End of Attack -> Attack start = Amp(0)
d = 300 % End of Decay
s = 2456 % End of Sustain
r = 50000 % End of ReleaseHow can I get the ADSR sample points of a audio file…Like:

"Fake" example:

[Amp, SR] = audioread(audio.file);

[a d s r] = get_ADSR(Amp);

% Results: The sample position of the Amp vector:
a = 85 % End of Attack -> Attack start = Amp(0)
d = 300 % End of Decay
s = 2456 % End of Sustain
r = 50000 % End of Release How can I get the ADSR sample points of a audio file…Like:

"Fake" example:

[Amp, SR] = audioread(audio.file);

[a d s r] = get_ADSR(Amp);

% Results: The sample position of the Amp vector:
a = 85 % End of Attack -> Attack start = Amp(0)
d = 300 % End of Decay
s = 2456 % End of Sustain
r = 50000 % End of Release envelope, adsr, audio, wave MATLAB Answers — New Questions

​

I’m now trying to setup the pixhawk 6X using UAV Toolbox Support Package for PX4 Autopilots (ver. 24.12).
I successfully finished the hardware setup.
Next, I created a simple simulink file as below.
I connected the hardware and tried to see the measurement values, but I could not find the values.
(The displayed values are zero.)
Please tell me how to solve this problem.I’m now trying to setup the pixhawk 6X using UAV Toolbox Support Package for PX4 Autopilots (ver. 24.12).
I successfully finished the hardware setup.
Next, I created a simple simulink file as below.
I connected the hardware and tried to see the measurement values, but I could not find the values.
(The displayed values are zero.)
Please tell me how to solve this problem. I’m now trying to setup the pixhawk 6X using UAV Toolbox Support Package for PX4 Autopilots (ver. 24.12).
I successfully finished the hardware setup.
Next, I created a simple simulink file as below.
I connected the hardware and tried to see the measurement values, but I could not find the values.
(The displayed values are zero.)
Please tell me how to solve this problem. pixhawk 6x, matlab, simulink, sensor, uav toolbox support package MATLAB Answers — New Questions

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