Tag Archives: matlab
How avoid exponential notation in compose
hi, i want to avodi exponential notation
compose("%d",daily)
…
"-250"
"1.562500e+02"
"-3.750000e+01"
correct is .
"-250"
"156.25"
"-37.5"hi, i want to avodi exponential notation
compose("%d",daily)
…
"-250"
"1.562500e+02"
"-3.750000e+01"
correct is .
"-250"
"156.25"
"-37.5" hi, i want to avodi exponential notation
compose("%d",daily)
…
"-250"
"1.562500e+02"
"-3.750000e+01"
correct is .
"-250"
"156.25"
"-37.5" how avoid exponential notation in compose MATLAB Answers — New Questions
How to make custom PMSM block?
Can we custom design or change parameters of Permanent Magnet Synchronous machine block in matlab? I want to simulate with my machine parameters.Can we custom design or change parameters of Permanent Magnet Synchronous machine block in matlab? I want to simulate with my machine parameters. Can we custom design or change parameters of Permanent Magnet Synchronous machine block in matlab? I want to simulate with my machine parameters. foc, pmsm, permanent magnet synchronous machine MATLAB Answers — New Questions
What happens if I use fitcecoc for a two-class classification, and how is it different from fitcsvm in such a scenario?
I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better?I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better? I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better? classification, fitcecoc MATLAB Answers — New Questions
Assistance Needed to Determine Noise in ECG Dataset
Dear Community,
I have an ECG dataset, but I am unsure whether the signals are noisy or not. Here are some details about the dataset:
Type of data: 12-lead ECG recordings
Duration: Each recording is 10 seconds long
Sampling rate: 500 Hz
Data format: Each signal column contains the raw ECG recording, with each value representing the amplitude of the ECG signal at a given time point.
Length of data: 5,000 data points per lead
Unit of measurement: 0.01 mV (standard Philips record system)
I have also visualized the ECG signals for all 12 leads attached
Could anyone guide me on how to determine if these signals are noisy? Are there specific techniques or MATLAB functions that can help identify and possibly filter out the noise? Any advice or pointers to relevant resources would be greatly appreciated.
Thank you!
Best regards,Dear Community,
I have an ECG dataset, but I am unsure whether the signals are noisy or not. Here are some details about the dataset:
Type of data: 12-lead ECG recordings
Duration: Each recording is 10 seconds long
Sampling rate: 500 Hz
Data format: Each signal column contains the raw ECG recording, with each value representing the amplitude of the ECG signal at a given time point.
Length of data: 5,000 data points per lead
Unit of measurement: 0.01 mV (standard Philips record system)
I have also visualized the ECG signals for all 12 leads attached
Could anyone guide me on how to determine if these signals are noisy? Are there specific techniques or MATLAB functions that can help identify and possibly filter out the noise? Any advice or pointers to relevant resources would be greatly appreciated.
Thank you!
Best regards, Dear Community,
I have an ECG dataset, but I am unsure whether the signals are noisy or not. Here are some details about the dataset:
Type of data: 12-lead ECG recordings
Duration: Each recording is 10 seconds long
Sampling rate: 500 Hz
Data format: Each signal column contains the raw ECG recording, with each value representing the amplitude of the ECG signal at a given time point.
Length of data: 5,000 data points per lead
Unit of measurement: 0.01 mV (standard Philips record system)
I have also visualized the ECG signals for all 12 leads attached
Could anyone guide me on how to determine if these signals are noisy? Are there specific techniques or MATLAB functions that can help identify and possibly filter out the noise? Any advice or pointers to relevant resources would be greatly appreciated.
Thank you!
Best regards, ecg, signal processing, noise reduction, 12-lead ecg MATLAB Answers — New Questions
fitting a graph and coloring each fit
i wrote the following code % Color settings
r_220_w = [10.78, 20.33, 24, 27.7, 35.86, 32.5, 33.2, 30.75, 36.83, 33.44, 32.8, 45.66, 33.04, 39, 50.45, 34.78, 4.96];
r_220_aw = [0.01, 0.02, 0.02, 0.03, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02, 0.02, 0.02, 0.02, 0.1, 0.05, 0.03, 0.03];
r_220_v = [1.02, 1.42, 1.82, 2.62, 5.92, 7, 8.24, 4.48, 4.64, 8.44, 7.5, 1.2, 8.01, 2.91, 0.87, 7.72, 0.973];
r_220_av = [0.01, 0.01, 0.02, 0.01, 0.01, 0.05, 0.01, 0.01, 0.05, 0.05, 0.1, 0.05, 0.05, 0.01, 0.01, 0.1, 0.001];
r_10_w = [33.05, 33.14, 33.1, 33.3, 31.1, 32.7, 35.9, 37.2, 22.9, 20.3, 33.7, 40.4, 27.07, 51.1, 34.45, 10.7, 4.97];
r_10_aw = [0.1, 0.05, 0.1, 0.1, 0.1, 0.1, 0.1, 0.3, 0.2, 0.1, 0.1, 0.1, 0.05, 0.1, 0.01, 0.1, 0.02];
r_10_v = [12.9, 13.5, 13.2, 13.8, 5.5, 10.8, 6.9, 4.57, 1.76, 1.52, 14.2, 2.4, 2.56, 0.77, 11.8, 1.02, 0.973];
r_10_av = [0.2, 0.2, 0.1, 0.1, 0.3, 0.1, 0.2, 0.02, 0.01, 0.01, 0.1, 0.1, 0.1, 0.01, 0.1, 0.1, 0.01];
r_2000_w = [52.67, 46.18, 39.33, 35.12, 34.12, 33.55, 10.91, 15.81, 20.77, 25.39, 29.21, 31.21, 42.96, 37.35, 4.98];
r_2000_v = [0.608, 0.888, 1.44, 1.8, 1.84, 1.88, 1.02, 1.13, 1.31, 1.56, 1.8, 1.88, 1.13, 1.62, 0.973];
r_2000_aw = [0.01, 0.02, 0.03, 0.01, 0.01, 0.03, 0.01, 0.01, 0.03, 0.02, 0.01, 0.02, 0.03, 0.02, 0.02];
r_2000_av = [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.01, 0.01, 0.01, 0.02, 0.01, 0.02, 0.01, 0.05];
r_1000_w = [34.71, 33.4, 32.5, 33, 35.56, 47.05, 37.6, 30.01, 10.53, 15.84, 20.75, 25, 31.97, 40.34, 44.03, 52.78, 4.96];
r_1000_v = [3.2, 3.35, 3.25, 3.3, 3.05, 0.976, 2.5, 2.74, 1.02, 1.18, 1.42, 1.82, 3.16, 1.86, 1.28, 0.664, 0.973];
r_1000_aw = [0.1, 0.02, 0, 0.1, 0.03, 0.02, 0.05, 0.03, 0.02, 0.01, 0.05, 0.03, 0.03, 0.02, 0.02, 0.02, 0.03];
r_1000_av = [0.01, 0.1, 0.01, 0.01, 0.03, 0.001, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.1, 0.001];
data = {
r_1000_w, r_1000_v, r_1000_av, r_1000_av, r_1000_aw, r_1000_aw;
r_2000_w, r_2000_v, r_2000_av, r_2000_av, r_2000_aw, r_2000_aw;
r_220_w, r_220_v, r_220_av, r_220_av, r_220_aw, r_220_aw;
r_10_w, r_10_v, r_10_av, r_10_av, r_10_aw, r_10_aw
};
color = [1 0.38 0.53]; % Specify your desired color
lineWidth = 1.5; % Specify the line width
% % Loop through each dataset and plot error bars
for i = 1:size(data, 1)
errorbar(data{i, 1}, data{i, 2}, data{i, 3}, data{i, 4}, data{i, 5}, data{i, 6}, …
‘.’, ‘Color’, color, ‘LineWidth’, lineWidth);
hold on;
end
it is really hard to see since the same color is being used for all of them i thought it would switch in the range given with each graph , and also if i want to do a fit using cftool and then import it and add it to a sepreat graph without the error bars so that each fit has a color how can i possibly do thati wrote the following code % Color settings
r_220_w = [10.78, 20.33, 24, 27.7, 35.86, 32.5, 33.2, 30.75, 36.83, 33.44, 32.8, 45.66, 33.04, 39, 50.45, 34.78, 4.96];
r_220_aw = [0.01, 0.02, 0.02, 0.03, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02, 0.02, 0.02, 0.02, 0.1, 0.05, 0.03, 0.03];
r_220_v = [1.02, 1.42, 1.82, 2.62, 5.92, 7, 8.24, 4.48, 4.64, 8.44, 7.5, 1.2, 8.01, 2.91, 0.87, 7.72, 0.973];
r_220_av = [0.01, 0.01, 0.02, 0.01, 0.01, 0.05, 0.01, 0.01, 0.05, 0.05, 0.1, 0.05, 0.05, 0.01, 0.01, 0.1, 0.001];
r_10_w = [33.05, 33.14, 33.1, 33.3, 31.1, 32.7, 35.9, 37.2, 22.9, 20.3, 33.7, 40.4, 27.07, 51.1, 34.45, 10.7, 4.97];
r_10_aw = [0.1, 0.05, 0.1, 0.1, 0.1, 0.1, 0.1, 0.3, 0.2, 0.1, 0.1, 0.1, 0.05, 0.1, 0.01, 0.1, 0.02];
r_10_v = [12.9, 13.5, 13.2, 13.8, 5.5, 10.8, 6.9, 4.57, 1.76, 1.52, 14.2, 2.4, 2.56, 0.77, 11.8, 1.02, 0.973];
r_10_av = [0.2, 0.2, 0.1, 0.1, 0.3, 0.1, 0.2, 0.02, 0.01, 0.01, 0.1, 0.1, 0.1, 0.01, 0.1, 0.1, 0.01];
r_2000_w = [52.67, 46.18, 39.33, 35.12, 34.12, 33.55, 10.91, 15.81, 20.77, 25.39, 29.21, 31.21, 42.96, 37.35, 4.98];
r_2000_v = [0.608, 0.888, 1.44, 1.8, 1.84, 1.88, 1.02, 1.13, 1.31, 1.56, 1.8, 1.88, 1.13, 1.62, 0.973];
r_2000_aw = [0.01, 0.02, 0.03, 0.01, 0.01, 0.03, 0.01, 0.01, 0.03, 0.02, 0.01, 0.02, 0.03, 0.02, 0.02];
r_2000_av = [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.01, 0.01, 0.01, 0.02, 0.01, 0.02, 0.01, 0.05];
r_1000_w = [34.71, 33.4, 32.5, 33, 35.56, 47.05, 37.6, 30.01, 10.53, 15.84, 20.75, 25, 31.97, 40.34, 44.03, 52.78, 4.96];
r_1000_v = [3.2, 3.35, 3.25, 3.3, 3.05, 0.976, 2.5, 2.74, 1.02, 1.18, 1.42, 1.82, 3.16, 1.86, 1.28, 0.664, 0.973];
r_1000_aw = [0.1, 0.02, 0, 0.1, 0.03, 0.02, 0.05, 0.03, 0.02, 0.01, 0.05, 0.03, 0.03, 0.02, 0.02, 0.02, 0.03];
r_1000_av = [0.01, 0.1, 0.01, 0.01, 0.03, 0.001, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.1, 0.001];
data = {
r_1000_w, r_1000_v, r_1000_av, r_1000_av, r_1000_aw, r_1000_aw;
r_2000_w, r_2000_v, r_2000_av, r_2000_av, r_2000_aw, r_2000_aw;
r_220_w, r_220_v, r_220_av, r_220_av, r_220_aw, r_220_aw;
r_10_w, r_10_v, r_10_av, r_10_av, r_10_aw, r_10_aw
};
color = [1 0.38 0.53]; % Specify your desired color
lineWidth = 1.5; % Specify the line width
% % Loop through each dataset and plot error bars
for i = 1:size(data, 1)
errorbar(data{i, 1}, data{i, 2}, data{i, 3}, data{i, 4}, data{i, 5}, data{i, 6}, …
‘.’, ‘Color’, color, ‘LineWidth’, lineWidth);
hold on;
end
it is really hard to see since the same color is being used for all of them i thought it would switch in the range given with each graph , and also if i want to do a fit using cftool and then import it and add it to a sepreat graph without the error bars so that each fit has a color how can i possibly do that i wrote the following code % Color settings
r_220_w = [10.78, 20.33, 24, 27.7, 35.86, 32.5, 33.2, 30.75, 36.83, 33.44, 32.8, 45.66, 33.04, 39, 50.45, 34.78, 4.96];
r_220_aw = [0.01, 0.02, 0.02, 0.03, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02, 0.02, 0.02, 0.02, 0.1, 0.05, 0.03, 0.03];
r_220_v = [1.02, 1.42, 1.82, 2.62, 5.92, 7, 8.24, 4.48, 4.64, 8.44, 7.5, 1.2, 8.01, 2.91, 0.87, 7.72, 0.973];
r_220_av = [0.01, 0.01, 0.02, 0.01, 0.01, 0.05, 0.01, 0.01, 0.05, 0.05, 0.1, 0.05, 0.05, 0.01, 0.01, 0.1, 0.001];
r_10_w = [33.05, 33.14, 33.1, 33.3, 31.1, 32.7, 35.9, 37.2, 22.9, 20.3, 33.7, 40.4, 27.07, 51.1, 34.45, 10.7, 4.97];
r_10_aw = [0.1, 0.05, 0.1, 0.1, 0.1, 0.1, 0.1, 0.3, 0.2, 0.1, 0.1, 0.1, 0.05, 0.1, 0.01, 0.1, 0.02];
r_10_v = [12.9, 13.5, 13.2, 13.8, 5.5, 10.8, 6.9, 4.57, 1.76, 1.52, 14.2, 2.4, 2.56, 0.77, 11.8, 1.02, 0.973];
r_10_av = [0.2, 0.2, 0.1, 0.1, 0.3, 0.1, 0.2, 0.02, 0.01, 0.01, 0.1, 0.1, 0.1, 0.01, 0.1, 0.1, 0.01];
r_2000_w = [52.67, 46.18, 39.33, 35.12, 34.12, 33.55, 10.91, 15.81, 20.77, 25.39, 29.21, 31.21, 42.96, 37.35, 4.98];
r_2000_v = [0.608, 0.888, 1.44, 1.8, 1.84, 1.88, 1.02, 1.13, 1.31, 1.56, 1.8, 1.88, 1.13, 1.62, 0.973];
r_2000_aw = [0.01, 0.02, 0.03, 0.01, 0.01, 0.03, 0.01, 0.01, 0.03, 0.02, 0.01, 0.02, 0.03, 0.02, 0.02];
r_2000_av = [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.01, 0.01, 0.01, 0.02, 0.01, 0.02, 0.01, 0.05];
r_1000_w = [34.71, 33.4, 32.5, 33, 35.56, 47.05, 37.6, 30.01, 10.53, 15.84, 20.75, 25, 31.97, 40.34, 44.03, 52.78, 4.96];
r_1000_v = [3.2, 3.35, 3.25, 3.3, 3.05, 0.976, 2.5, 2.74, 1.02, 1.18, 1.42, 1.82, 3.16, 1.86, 1.28, 0.664, 0.973];
r_1000_aw = [0.1, 0.02, 0, 0.1, 0.03, 0.02, 0.05, 0.03, 0.02, 0.01, 0.05, 0.03, 0.03, 0.02, 0.02, 0.02, 0.03];
r_1000_av = [0.01, 0.1, 0.01, 0.01, 0.03, 0.001, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.01, 0.02, 0.01, 0.1, 0.001];
data = {
r_1000_w, r_1000_v, r_1000_av, r_1000_av, r_1000_aw, r_1000_aw;
r_2000_w, r_2000_v, r_2000_av, r_2000_av, r_2000_aw, r_2000_aw;
r_220_w, r_220_v, r_220_av, r_220_av, r_220_aw, r_220_aw;
r_10_w, r_10_v, r_10_av, r_10_av, r_10_aw, r_10_aw
};
color = [1 0.38 0.53]; % Specify your desired color
lineWidth = 1.5; % Specify the line width
% % Loop through each dataset and plot error bars
for i = 1:size(data, 1)
errorbar(data{i, 1}, data{i, 2}, data{i, 3}, data{i, 4}, data{i, 5}, data{i, 6}, …
‘.’, ‘Color’, color, ‘LineWidth’, lineWidth);
hold on;
end
it is really hard to see since the same color is being used for all of them i thought it would switch in the range given with each graph , and also if i want to do a fit using cftool and then import it and add it to a sepreat graph without the error bars so that each fit has a color how can i possibly do that curve fitting, colormap MATLAB Answers — New Questions
graduation project for my phd
i am working on the mangement of energy of hybrid system & i am struggling to introduce the time in the code because it depends on both the month and the daytime
for example i want to set the time between 7am & 6pm from september to maii am working on the mangement of energy of hybrid system & i am struggling to introduce the time in the code because it depends on both the month and the daytime
for example i want to set the time between 7am & 6pm from september to mai i am working on the mangement of energy of hybrid system & i am struggling to introduce the time in the code because it depends on both the month and the daytime
for example i want to set the time between 7am & 6pm from september to mai renewabale energy MATLAB Answers — New Questions
where is error in my code to ompute Prediction interval coverage probability (PICP)
Following is my code and I have also attached the data. I want to compute Prediction interval coverage probability (PICP) and the graph has zero values for the y axis. Where I am doing wrong.
IP_p = prctile(IP_OPT,[2.5 97.5],2);
%%
theoreticalCoverage = linspace(0, 1, 100); % Adjust the number of points as needed
actualCoverage = zeros(size(theoreticalCoverage));
trueModel = ip;
numRealizations = 500;
% Loop through each realization
for i = 1:numRealizations
% Compute prediction interval for the ith realization
lowerLimit = IP_p(:, 1); % Access the first column (lower limit)
upperLimit = IP_p(:, 2); % Access the second column (upper limit)
% Check if true model falls within the interval
withinInterval = (trueModel >= lowerLimit(i)) & (trueModel <= upperLimit(i));
% Update actual coverage probability
actualCoverage = actualCoverage + withinInterval;
end
% Normalize actual coverage probability
actualCoverageProbability = actualCoverage / numRealizations;
% Plotting
figure;
plot(theoreticalCoverage, actualCoverageProbability, ‘o-‘, ‘LineWidth’, 2);
xlabel(‘Theoretical Coverage Probability’);
ylabel(‘Actual Coverage Probability’);
title(‘Prediction Interval Coverage Probability’);
ylim([0 1])
grid on;Following is my code and I have also attached the data. I want to compute Prediction interval coverage probability (PICP) and the graph has zero values for the y axis. Where I am doing wrong.
IP_p = prctile(IP_OPT,[2.5 97.5],2);
%%
theoreticalCoverage = linspace(0, 1, 100); % Adjust the number of points as needed
actualCoverage = zeros(size(theoreticalCoverage));
trueModel = ip;
numRealizations = 500;
% Loop through each realization
for i = 1:numRealizations
% Compute prediction interval for the ith realization
lowerLimit = IP_p(:, 1); % Access the first column (lower limit)
upperLimit = IP_p(:, 2); % Access the second column (upper limit)
% Check if true model falls within the interval
withinInterval = (trueModel >= lowerLimit(i)) & (trueModel <= upperLimit(i));
% Update actual coverage probability
actualCoverage = actualCoverage + withinInterval;
end
% Normalize actual coverage probability
actualCoverageProbability = actualCoverage / numRealizations;
% Plotting
figure;
plot(theoreticalCoverage, actualCoverageProbability, ‘o-‘, ‘LineWidth’, 2);
xlabel(‘Theoretical Coverage Probability’);
ylabel(‘Actual Coverage Probability’);
title(‘Prediction Interval Coverage Probability’);
ylim([0 1])
grid on; Following is my code and I have also attached the data. I want to compute Prediction interval coverage probability (PICP) and the graph has zero values for the y axis. Where I am doing wrong.
IP_p = prctile(IP_OPT,[2.5 97.5],2);
%%
theoreticalCoverage = linspace(0, 1, 100); % Adjust the number of points as needed
actualCoverage = zeros(size(theoreticalCoverage));
trueModel = ip;
numRealizations = 500;
% Loop through each realization
for i = 1:numRealizations
% Compute prediction interval for the ith realization
lowerLimit = IP_p(:, 1); % Access the first column (lower limit)
upperLimit = IP_p(:, 2); % Access the second column (upper limit)
% Check if true model falls within the interval
withinInterval = (trueModel >= lowerLimit(i)) & (trueModel <= upperLimit(i));
% Update actual coverage probability
actualCoverage = actualCoverage + withinInterval;
end
% Normalize actual coverage probability
actualCoverageProbability = actualCoverage / numRealizations;
% Plotting
figure;
plot(theoreticalCoverage, actualCoverageProbability, ‘o-‘, ‘LineWidth’, 2);
xlabel(‘Theoretical Coverage Probability’);
ylabel(‘Actual Coverage Probability’);
title(‘Prediction Interval Coverage Probability’);
ylim([0 1])
grid on; matlab, statistics MATLAB Answers — New Questions
Error on setup RTL-SDR (Error code -12)
I found this error when i try to setup my RTL-SDR on my PC. I use this same RTL-SDR on a laptop and works properly, indeed, i can use SDRsharp on this same PC and works.
When i try to setup on Matlab Hardware Setup, if fails on search ad connect and that error code -12 is displayed in the command window. I dont know what to do.
Thank youI found this error when i try to setup my RTL-SDR on my PC. I use this same RTL-SDR on a laptop and works properly, indeed, i can use SDRsharp on this same PC and works.
When i try to setup on Matlab Hardware Setup, if fails on search ad connect and that error code -12 is displayed in the command window. I dont know what to do.
Thank you I found this error when i try to setup my RTL-SDR on my PC. I use this same RTL-SDR on a laptop and works properly, indeed, i can use SDRsharp on this same PC and works.
When i try to setup on Matlab Hardware Setup, if fails on search ad connect and that error code -12 is displayed in the command window. I dont know what to do.
Thank you rtl-sdr, sdr, error code -12, hardware setup, test radio connection MATLAB Answers — New Questions
RTL-SDR connection not working
Hello,
I have been attempting to install the RTL-SDR support for Matlab, but I have been running into an issue. I have previously used my RTL-SDR with the SDRSharp software, so I have already setup the driver for it and it works well with that software. I am now trying to get it to work with Matlab but I am running into problems when I attempt the setup of the communication toolbox for RTL. As soon as I start it goes into the part that looks for the driver, it seems to search and then the Zadig software pops up asking me to change the driver. In my case, since I have already setup the RTL, my options do not include the Bulk USB option, and instead it already lists the RTL2838UHIDIR and the driver it has linked to it is already the WinUSB v6.1.7600.16385. At this point I have tried to reinstall this same driver. When I get to the next step to test the connection it always fails, the Radio Name shows the RTL-SDR, but the Radio address and the Tuner show up as Not Found. In the Matlab screen I can see the message "error code -12". I have seen the suggestion to run Zadig as an admin, that did not work. I also tried running Matlab as admin and that didn’t help either. At this point I don’t know what else to try, and I am hoping someone else may have run into this in the past.
Thanks to anyone that can help.Hello,
I have been attempting to install the RTL-SDR support for Matlab, but I have been running into an issue. I have previously used my RTL-SDR with the SDRSharp software, so I have already setup the driver for it and it works well with that software. I am now trying to get it to work with Matlab but I am running into problems when I attempt the setup of the communication toolbox for RTL. As soon as I start it goes into the part that looks for the driver, it seems to search and then the Zadig software pops up asking me to change the driver. In my case, since I have already setup the RTL, my options do not include the Bulk USB option, and instead it already lists the RTL2838UHIDIR and the driver it has linked to it is already the WinUSB v6.1.7600.16385. At this point I have tried to reinstall this same driver. When I get to the next step to test the connection it always fails, the Radio Name shows the RTL-SDR, but the Radio address and the Tuner show up as Not Found. In the Matlab screen I can see the message "error code -12". I have seen the suggestion to run Zadig as an admin, that did not work. I also tried running Matlab as admin and that didn’t help either. At this point I don’t know what else to try, and I am hoping someone else may have run into this in the past.
Thanks to anyone that can help. Hello,
I have been attempting to install the RTL-SDR support for Matlab, but I have been running into an issue. I have previously used my RTL-SDR with the SDRSharp software, so I have already setup the driver for it and it works well with that software. I am now trying to get it to work with Matlab but I am running into problems when I attempt the setup of the communication toolbox for RTL. As soon as I start it goes into the part that looks for the driver, it seems to search and then the Zadig software pops up asking me to change the driver. In my case, since I have already setup the RTL, my options do not include the Bulk USB option, and instead it already lists the RTL2838UHIDIR and the driver it has linked to it is already the WinUSB v6.1.7600.16385. At this point I have tried to reinstall this same driver. When I get to the next step to test the connection it always fails, the Radio Name shows the RTL-SDR, but the Radio address and the Tuner show up as Not Found. In the Matlab screen I can see the message "error code -12". I have seen the suggestion to run Zadig as an admin, that did not work. I also tried running Matlab as admin and that didn’t help either. At this point I don’t know what else to try, and I am hoping someone else may have run into this in the past.
Thanks to anyone that can help. rtl-sdr install, rtl-sdr, error code -12 MATLAB Answers — New Questions
Rigidly connected port error with Simscape Multibody Contact Forces Library
Adding blocks from the <https://www.mathworks.com/matlabcentral/fileexchange/47417-simscape-multibody-contact-forces-library Simscape Multibody Contact Forces Library> to a new model gives the following error message:
"External Force and Torque External_Force_and_Torque_PlaB has its follower port rigidly connected to the world frame; it has no effect. You can configure this diagnostic in the Simscape Multibody Configuration Parameters dialog."Adding blocks from the <https://www.mathworks.com/matlabcentral/fileexchange/47417-simscape-multibody-contact-forces-library Simscape Multibody Contact Forces Library> to a new model gives the following error message:
"External Force and Torque External_Force_and_Torque_PlaB has its follower port rigidly connected to the world frame; it has no effect. You can configure this diagnostic in the Simscape Multibody Configuration Parameters dialog." Adding blocks from the <https://www.mathworks.com/matlabcentral/fileexchange/47417-simscape-multibody-contact-forces-library Simscape Multibody Contact Forces Library> to a new model gives the following error message:
"External Force and Torque External_Force_and_Torque_PlaB has its follower port rigidly connected to the world frame; it has no effect. You can configure this diagnostic in the Simscape Multibody Configuration Parameters dialog." simscape, multibody, contact MATLAB Answers — New Questions
Using single-channel encoder in Arduino Support Package for MATLAB
Hello,
I am using the MATLAB Support Package for Arduino Hardware to connect my Arduino Nano 33 IoT and Arduino Nano motor carrier to MATLAB. However, I only have a single channel encoder, meaning there is no data into the "B" port on my motor carrier. I am creating the motor carrier object using the "motorCarrier" function and the subsequent encoder object "rotaryEncoder" Is there a way to configure the rotaryEncoder object to use X1 encoding scheme rather than X4 encoding scheme, so that only the "A" channel must recieve data?
I would also like to do the same to the arduino encoder block in simulink, if possible.Hello,
I am using the MATLAB Support Package for Arduino Hardware to connect my Arduino Nano 33 IoT and Arduino Nano motor carrier to MATLAB. However, I only have a single channel encoder, meaning there is no data into the "B" port on my motor carrier. I am creating the motor carrier object using the "motorCarrier" function and the subsequent encoder object "rotaryEncoder" Is there a way to configure the rotaryEncoder object to use X1 encoding scheme rather than X4 encoding scheme, so that only the "A" channel must recieve data?
I would also like to do the same to the arduino encoder block in simulink, if possible. Hello,
I am using the MATLAB Support Package for Arduino Hardware to connect my Arduino Nano 33 IoT and Arduino Nano motor carrier to MATLAB. However, I only have a single channel encoder, meaning there is no data into the "B" port on my motor carrier. I am creating the motor carrier object using the "motorCarrier" function and the subsequent encoder object "rotaryEncoder" Is there a way to configure the rotaryEncoder object to use X1 encoding scheme rather than X4 encoding scheme, so that only the "A" channel must recieve data?
I would also like to do the same to the arduino encoder block in simulink, if possible. arduino, electric_motor_control MATLAB Answers — New Questions
spacial contact force block with file solid
About simscape multibody, how can I connect a spacial contact force block with a file solid block (solid element with properties derived from external file)?
I understood that I need to make port G appear, by enabling "export entire geometry" inside the solid block, but it seems to work only with geometries created inside matlab environment.
Thank you very much,
SteAbout simscape multibody, how can I connect a spacial contact force block with a file solid block (solid element with properties derived from external file)?
I understood that I need to make port G appear, by enabling "export entire geometry" inside the solid block, but it seems to work only with geometries created inside matlab environment.
Thank you very much,
Ste About simscape multibody, how can I connect a spacial contact force block with a file solid block (solid element with properties derived from external file)?
I understood that I need to make port G appear, by enabling "export entire geometry" inside the solid block, but it seems to work only with geometries created inside matlab environment.
Thank you very much,
Ste simscape multibody, spacial contact force block, file solid MATLAB Answers — New Questions
How can I change symbolic displays to decimal displays?
How do I display a symbolic expression as a decimal?How do I display a symbolic expression as a decimal? How do I display a symbolic expression as a decimal? display decimal number MATLAB Answers — New Questions
Drop msb of fi object, producing a new fi object
This seems to do what I want.
Is there anything to go wrong with this approach?
Seems like I have dropped the msb from the number, changing it from a 5.2 fi numbe to a 4.2 fi number
>> a = fi(3,1,5,2);
>> b = fi(a,1,4,2);
>> a.bin
ans =
01100
>> b.bin
ans =
0111This seems to do what I want.
Is there anything to go wrong with this approach?
Seems like I have dropped the msb from the number, changing it from a 5.2 fi numbe to a 4.2 fi number
>> a = fi(3,1,5,2);
>> b = fi(a,1,4,2);
>> a.bin
ans =
01100
>> b.bin
ans =
0111 This seems to do what I want.
Is there anything to go wrong with this approach?
Seems like I have dropped the msb from the number, changing it from a 5.2 fi numbe to a 4.2 fi number
>> a = fi(3,1,5,2);
>> b = fi(a,1,4,2);
>> a.bin
ans =
01100
>> b.bin
ans =
0111 fixed_point, conversion MATLAB Answers — New Questions
Ensuring each node becoming as CH exactly one time in LEACH
I am implementing my LEACH protocol. I want each of 100 nodes become as a CH exactly one time or in one round among 100 rounds. Below is the code snippet for CH making. In this code nodes become multiple time as CH, but i want exactly once. How to make it. Selecting one node uniquely based on probability in each round seems tricky.
close all;
clear all;
clc;
num_nodes = 100;
rounds = 100;
probability_threshold = 0.1;
% Initialize cluster heads
cluster_heads = zeros(rounds, num_nodes);
for r = 1:rounds
% Select cluster heads probabilistically
for i = 1:num_nodes
if rand <= probability_threshold %need to make exactly one node satisfy the condition
cluster_heads(r, i) = 1; % Node becomes a cluster head
end
end
end
Pls clarify!I am implementing my LEACH protocol. I want each of 100 nodes become as a CH exactly one time or in one round among 100 rounds. Below is the code snippet for CH making. In this code nodes become multiple time as CH, but i want exactly once. How to make it. Selecting one node uniquely based on probability in each round seems tricky.
close all;
clear all;
clc;
num_nodes = 100;
rounds = 100;
probability_threshold = 0.1;
% Initialize cluster heads
cluster_heads = zeros(rounds, num_nodes);
for r = 1:rounds
% Select cluster heads probabilistically
for i = 1:num_nodes
if rand <= probability_threshold %need to make exactly one node satisfy the condition
cluster_heads(r, i) = 1; % Node becomes a cluster head
end
end
end
Pls clarify! I am implementing my LEACH protocol. I want each of 100 nodes become as a CH exactly one time or in one round among 100 rounds. Below is the code snippet for CH making. In this code nodes become multiple time as CH, but i want exactly once. How to make it. Selecting one node uniquely based on probability in each round seems tricky.
close all;
clear all;
clc;
num_nodes = 100;
rounds = 100;
probability_threshold = 0.1;
% Initialize cluster heads
cluster_heads = zeros(rounds, num_nodes);
for r = 1:rounds
% Select cluster heads probabilistically
for i = 1:num_nodes
if rand <= probability_threshold %need to make exactly one node satisfy the condition
cluster_heads(r, i) = 1; % Node becomes a cluster head
end
end
end
Pls clarify! probability, leach MATLAB Answers — New Questions
Statistical test for an experiment involving three rat subjects with a within-subjects design and repeated measures
Which statistical test would be best for our experimental research where we want to examine the effect of deprivation schedules on the errors made by three rats over three days? We observed them and had them navigate a maze for three days, which all three rats experienced. We initially tried to use repeated measures ANOVA, but it showed NaN in the sphericity testWhich statistical test would be best for our experimental research where we want to examine the effect of deprivation schedules on the errors made by three rats over three days? We observed them and had them navigate a maze for three days, which all three rats experienced. We initially tried to use repeated measures ANOVA, but it showed NaN in the sphericity test Which statistical test would be best for our experimental research where we want to examine the effect of deprivation schedules on the errors made by three rats over three days? We observed them and had them navigate a maze for three days, which all three rats experienced. We initially tried to use repeated measures ANOVA, but it showed NaN in the sphericity test psychology, statistics, statistical help MATLAB Answers — New Questions
How to run anova after fitlmematrix to obtain the F statistics
I am following the example of fitlmematrix under longitudinal data with a covariate at: https://www.mathworks.com/help/stats/fitlmematrix.html;
Breifly I build design matrix of the fixed and random effect for the model
y ~ Intercept + InitWeight + PrgB + PrgC + PrgD + Week + Week_PrgB + Week_PrgC + Week_PrgD + (Intercept + Week | Subject)
And then run the code:
lme = fitlmematrix(X,y,Z,G,’FixedEffectPredictors’,{‘Intercept’,’InitWeight’,’PrgB’,’PrgC’,’PrgD’,’Week’,’Week_PrgB’,’Week_PrgC’,’Week_PrgD’},’RandomEffectPredictors’,{{‘Intercept’,’Week’}},’RandomEffectGroups’,{‘Subject’})
I obtain the t-stats for each term:
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{‘Intercept’ } 0.66105 0.25892 2.5531 111 0.012034 0.14798 1.1741
{‘InitWeight’} 0.0031879 0.0013814 2.3078 111 0.022863 0.00045067 0.0059252
{‘PrgB’ } 0.36079 0.13139 2.746 111 0.0070394 0.10044 0.62113
{‘PrgC’ } -0.033263 0.13117 -0.25358 111 0.80029 -0.29319 0.22666
{‘PrgD’ } 0.11317 0.13132 0.86175 111 0.39068 -0.14706 0.3734
{‘Week’ } 0.1732 0.067454 2.5677 111 0.011567 0.039536 0.30686
{‘Week_PrgB’ } 0.038771 0.095394 0.40644 111 0.68521 -0.15026 0.2278
{‘Week_PrgC’ } 0.030543 0.095394 0.32018 111 0.74944 -0.15849 0.21957
{‘Week_PrgD’ } 0.033114 0.095394 0.34713 111 0.72915 -0.15592 0.22214
I am wondering, if it is possible to obtain a F-stats for all Programs (Prg). Anova(lme) in this case will give F-stats for individual terms instead of grouping them together.
Term FStat DF1 DF2 pValue
{‘Intercept’ } 6.5184 1 111 0.012034
{‘InitWeight’} 5.326 1 111 0.022863
{‘PrgB’ } 7.5406 1 111 0.0070394
{‘PrgC’ } 0.064305 1 111 0.80029
{‘PrgD’ } 0.74261 1 111 0.39068
{‘Week’ } 6.593 1 111 0.011567
{‘Week_PrgB’ } 0.16519 1 111 0.68521
{‘Week_PrgC’ } 0.10251 1 111 0.74944
{‘Week_PrgD’ } 0.1205 1 111 0.72915I am following the example of fitlmematrix under longitudinal data with a covariate at: https://www.mathworks.com/help/stats/fitlmematrix.html;
Breifly I build design matrix of the fixed and random effect for the model
y ~ Intercept + InitWeight + PrgB + PrgC + PrgD + Week + Week_PrgB + Week_PrgC + Week_PrgD + (Intercept + Week | Subject)
And then run the code:
lme = fitlmematrix(X,y,Z,G,’FixedEffectPredictors’,{‘Intercept’,’InitWeight’,’PrgB’,’PrgC’,’PrgD’,’Week’,’Week_PrgB’,’Week_PrgC’,’Week_PrgD’},’RandomEffectPredictors’,{{‘Intercept’,’Week’}},’RandomEffectGroups’,{‘Subject’})
I obtain the t-stats for each term:
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{‘Intercept’ } 0.66105 0.25892 2.5531 111 0.012034 0.14798 1.1741
{‘InitWeight’} 0.0031879 0.0013814 2.3078 111 0.022863 0.00045067 0.0059252
{‘PrgB’ } 0.36079 0.13139 2.746 111 0.0070394 0.10044 0.62113
{‘PrgC’ } -0.033263 0.13117 -0.25358 111 0.80029 -0.29319 0.22666
{‘PrgD’ } 0.11317 0.13132 0.86175 111 0.39068 -0.14706 0.3734
{‘Week’ } 0.1732 0.067454 2.5677 111 0.011567 0.039536 0.30686
{‘Week_PrgB’ } 0.038771 0.095394 0.40644 111 0.68521 -0.15026 0.2278
{‘Week_PrgC’ } 0.030543 0.095394 0.32018 111 0.74944 -0.15849 0.21957
{‘Week_PrgD’ } 0.033114 0.095394 0.34713 111 0.72915 -0.15592 0.22214
I am wondering, if it is possible to obtain a F-stats for all Programs (Prg). Anova(lme) in this case will give F-stats for individual terms instead of grouping them together.
Term FStat DF1 DF2 pValue
{‘Intercept’ } 6.5184 1 111 0.012034
{‘InitWeight’} 5.326 1 111 0.022863
{‘PrgB’ } 7.5406 1 111 0.0070394
{‘PrgC’ } 0.064305 1 111 0.80029
{‘PrgD’ } 0.74261 1 111 0.39068
{‘Week’ } 6.593 1 111 0.011567
{‘Week_PrgB’ } 0.16519 1 111 0.68521
{‘Week_PrgC’ } 0.10251 1 111 0.74944
{‘Week_PrgD’ } 0.1205 1 111 0.72915 I am following the example of fitlmematrix under longitudinal data with a covariate at: https://www.mathworks.com/help/stats/fitlmematrix.html;
Breifly I build design matrix of the fixed and random effect for the model
y ~ Intercept + InitWeight + PrgB + PrgC + PrgD + Week + Week_PrgB + Week_PrgC + Week_PrgD + (Intercept + Week | Subject)
And then run the code:
lme = fitlmematrix(X,y,Z,G,’FixedEffectPredictors’,{‘Intercept’,’InitWeight’,’PrgB’,’PrgC’,’PrgD’,’Week’,’Week_PrgB’,’Week_PrgC’,’Week_PrgD’},’RandomEffectPredictors’,{{‘Intercept’,’Week’}},’RandomEffectGroups’,{‘Subject’})
I obtain the t-stats for each term:
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{‘Intercept’ } 0.66105 0.25892 2.5531 111 0.012034 0.14798 1.1741
{‘InitWeight’} 0.0031879 0.0013814 2.3078 111 0.022863 0.00045067 0.0059252
{‘PrgB’ } 0.36079 0.13139 2.746 111 0.0070394 0.10044 0.62113
{‘PrgC’ } -0.033263 0.13117 -0.25358 111 0.80029 -0.29319 0.22666
{‘PrgD’ } 0.11317 0.13132 0.86175 111 0.39068 -0.14706 0.3734
{‘Week’ } 0.1732 0.067454 2.5677 111 0.011567 0.039536 0.30686
{‘Week_PrgB’ } 0.038771 0.095394 0.40644 111 0.68521 -0.15026 0.2278
{‘Week_PrgC’ } 0.030543 0.095394 0.32018 111 0.74944 -0.15849 0.21957
{‘Week_PrgD’ } 0.033114 0.095394 0.34713 111 0.72915 -0.15592 0.22214
I am wondering, if it is possible to obtain a F-stats for all Programs (Prg). Anova(lme) in this case will give F-stats for individual terms instead of grouping them together.
Term FStat DF1 DF2 pValue
{‘Intercept’ } 6.5184 1 111 0.012034
{‘InitWeight’} 5.326 1 111 0.022863
{‘PrgB’ } 7.5406 1 111 0.0070394
{‘PrgC’ } 0.064305 1 111 0.80029
{‘PrgD’ } 0.74261 1 111 0.39068
{‘Week’ } 6.593 1 111 0.011567
{‘Week_PrgB’ } 0.16519 1 111 0.68521
{‘Week_PrgC’ } 0.10251 1 111 0.74944
{‘Week_PrgD’ } 0.1205 1 111 0.72915 fitlmematrix MATLAB Answers — New Questions
Windows Security suddenly thinks my compiled app contains a virus
Today (2023.07.30) Windows Security updated its "don’t like" list on my machine and now it won’t start/quarantines the app I’ve been building on R2015b for years. I got around it by excluding the app’s installation folder from Windows Security but I find this worrying, especially since this app gets distributed to many others.
Anyone else seen this or have any ideas?
Thank you.Today (2023.07.30) Windows Security updated its "don’t like" list on my machine and now it won’t start/quarantines the app I’ve been building on R2015b for years. I got around it by excluding the app’s installation folder from Windows Security but I find this worrying, especially since this app gets distributed to many others.
Anyone else seen this or have any ideas?
Thank you. Today (2023.07.30) Windows Security updated its "don’t like" list on my machine and now it won’t start/quarantines the app I’ve been building on R2015b for years. I got around it by excluding the app’s installation folder from Windows Security but I find this worrying, especially since this app gets distributed to many others.
Anyone else seen this or have any ideas?
Thank you. windows security, virus, compiled app, matlab r2015b MATLAB Answers — New Questions
How do I solve a system using rkf45 method with shooing technique?
I tried to solve a ode system using rk method with shooing technique. But I have a lot of errors. How can I solve this issue.
function bvp_shooting_rk_2()
% Define constants and parameters
rho_f = 783; rCp_f = 2090 * rho_f; k_f = 0.145; rb_f = 21e-6; Pr = 6;
rho_s1 = 1800; rCp_s1 = 717 * rho_s1; k_s1 = 5000; rb_s1 = 6.30e7;
rho_s2 = 10500; rCp_s2 = 235 * rho_s2; k_s2 = 429; rb_s2 = 63e-6;
m = 3; phi_s1 = 0.01; phi_s2 = 0.01; M = 0; K_p = 0.5; beta = 0.5;
S = 0.5; % Initial condition for theta at eta = 0
B_i = 0.5; Q = 0.01; Ec = 0.8;
% Assume values for mu_f and sigma_f, as they are not defined in the problem
mu_f = 1; % Dynamic viscosity of the base fluid (assumed)
sigma_f = 1; % Electrical conductivity of the base fluid (assumed)
rho_hnf = (1-phi_s2)*((1-phi_s1)*rho_f + phi_s1*rho_s1) + phi_s2*rho_s2;
rCp_hnf = (1-phi_s2)*((1-phi_s1)*rCp_f + phi_s1*rCp_s1) + phi_s2*rCp_s2;
mu_hnf = mu_f / ((1-phi_s1)^2.5 * (1-phi_s2)^2.5);
k_bf = k_f * (k_s1 + (m-1)*k_f – (m-1)*phi_s1*(k_f – k_s1)) / (k_s1 + (m-1)*k_f – phi_s1*(k_f – k_s1));
k_hnf = k_bf * (k_s2 + (m-1)*k_bf – (m-1)*phi_s2*(k_bf – k_s2)) / (k_s2 + (m-1)*k_bf – phi_s2*(k_bf – k_s2));
rb_hnf = (1-phi_s2)*((1-phi_s1)*rb_f + phi_s1*rb_s1) + phi_s2*rb_s2;
sigma_bf = sigma_f * (1-phi_s1)^2.5;
sigma_hnf = sigma_bf * (1-phi_s2)^2.5;
A1 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5 * ((1-phi_s2)*(1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f);
A2 = (1-phi_s2) * (1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f;
A3 = (1-phi_s2) * (1-phi_s1 + phi_s1*rCp_s1/rCp_f) + phi_s2*rCp_s2/rCp_f;
A4 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5;
% Initial guess for the shooting method
xi_guess = [1; 1]; % Initial guesses for f”(0) and theta'(0)
eta_end = 25; % End of the interval
tol = 1e-6; % Tolerance
% Solve the BVP using the shooting method
[xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S);
% Plot the solution
figure;
subplot(2, 1, 1);
plot(eta, y(:, 1), ‘b-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘f(eta)’);
title(‘Solution for f(eta) using Shooting Method with RK’);
grid on;
subplot(2, 1, 2);
plot(eta, y(:, 4), ‘r-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘theta(eta)’);
title(‘Solution for theta(eta) using Shooting Method with RK’);
grid on;
end
function [xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S)
% Shooting method to adjust xi
options = odeset(‘RelTol’, 1e-6, ‘AbsTol’, 1e-6);
% Initial conditions
y0 = [0; 1; xi_guess(1); S; xi_guess(2)]; % Initial conditions including S for theta at eta = 0
% Solve the ODE system
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec), [0 eta_end], y0, options);
% Check the boundary condition at eta_end
bc_error_f_prime = y(end, 2); % f'(eta_end) should be 0
bc_error_theta = y(end, 4); % theta(eta_end) should be 0
% Adjust xi using a simple iteration (could use a more sophisticated method)
xi_new = xi_guess;
iteration_count = 0;
max_iterations = 100; % Limit the number of iterations to prevent infinite loops
while (abs(bc_error_f_prime) > tol || abs(bc_error_theta) > tol) && iteration_count < max_iterations
% Simple adjustment step
xi_new(1) = xi_new(1) – bc_error_f_prime * 0.1;
xi_new(2) = xi_new(2) – bc_error_theta * 0.1;
y0 = [0; 1; xi_new(1); S; xi_new(2)];
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M), [0 eta_end], y0, options);
bc_error_f_prime = y(end, 2);
bc_error_theta = y(end, 4);
iteration_count = iteration_count + 1;
end
if iteration_count >= max_iterations
error(‘Shooting method failed to converge.’);
end
xi = xi_new;
end
function dydeta = ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M)
% Extract variables from y
f = y(1);
f_prime = y(2);
f_double_prime = y(3);
theta = y(4);
theta_prime = y(5);
% Define the system of ODEs
f_triple_prime = A1 * ((f_prime)^2 – f * f_double_prime) + A2 * M * f_prime + K_p * f_prime – beta * A1 * (f^2 * f_triple_prime – 2 * f * f_prime * f_double_prime);
theta_double_prime = k_f * Pr * (A3 * f * theta_prime – Ec * A4 * (f_double_prime)^2 – Q * theta) / k_hnf;
% Return derivatives as a column vector
dydeta = [f_prime; f_double_prime; f_triple_prime; theta_prime; theta_double_prime];
endI tried to solve a ode system using rk method with shooing technique. But I have a lot of errors. How can I solve this issue.
function bvp_shooting_rk_2()
% Define constants and parameters
rho_f = 783; rCp_f = 2090 * rho_f; k_f = 0.145; rb_f = 21e-6; Pr = 6;
rho_s1 = 1800; rCp_s1 = 717 * rho_s1; k_s1 = 5000; rb_s1 = 6.30e7;
rho_s2 = 10500; rCp_s2 = 235 * rho_s2; k_s2 = 429; rb_s2 = 63e-6;
m = 3; phi_s1 = 0.01; phi_s2 = 0.01; M = 0; K_p = 0.5; beta = 0.5;
S = 0.5; % Initial condition for theta at eta = 0
B_i = 0.5; Q = 0.01; Ec = 0.8;
% Assume values for mu_f and sigma_f, as they are not defined in the problem
mu_f = 1; % Dynamic viscosity of the base fluid (assumed)
sigma_f = 1; % Electrical conductivity of the base fluid (assumed)
rho_hnf = (1-phi_s2)*((1-phi_s1)*rho_f + phi_s1*rho_s1) + phi_s2*rho_s2;
rCp_hnf = (1-phi_s2)*((1-phi_s1)*rCp_f + phi_s1*rCp_s1) + phi_s2*rCp_s2;
mu_hnf = mu_f / ((1-phi_s1)^2.5 * (1-phi_s2)^2.5);
k_bf = k_f * (k_s1 + (m-1)*k_f – (m-1)*phi_s1*(k_f – k_s1)) / (k_s1 + (m-1)*k_f – phi_s1*(k_f – k_s1));
k_hnf = k_bf * (k_s2 + (m-1)*k_bf – (m-1)*phi_s2*(k_bf – k_s2)) / (k_s2 + (m-1)*k_bf – phi_s2*(k_bf – k_s2));
rb_hnf = (1-phi_s2)*((1-phi_s1)*rb_f + phi_s1*rb_s1) + phi_s2*rb_s2;
sigma_bf = sigma_f * (1-phi_s1)^2.5;
sigma_hnf = sigma_bf * (1-phi_s2)^2.5;
A1 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5 * ((1-phi_s2)*(1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f);
A2 = (1-phi_s2) * (1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f;
A3 = (1-phi_s2) * (1-phi_s1 + phi_s1*rCp_s1/rCp_f) + phi_s2*rCp_s2/rCp_f;
A4 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5;
% Initial guess for the shooting method
xi_guess = [1; 1]; % Initial guesses for f”(0) and theta'(0)
eta_end = 25; % End of the interval
tol = 1e-6; % Tolerance
% Solve the BVP using the shooting method
[xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S);
% Plot the solution
figure;
subplot(2, 1, 1);
plot(eta, y(:, 1), ‘b-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘f(eta)’);
title(‘Solution for f(eta) using Shooting Method with RK’);
grid on;
subplot(2, 1, 2);
plot(eta, y(:, 4), ‘r-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘theta(eta)’);
title(‘Solution for theta(eta) using Shooting Method with RK’);
grid on;
end
function [xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S)
% Shooting method to adjust xi
options = odeset(‘RelTol’, 1e-6, ‘AbsTol’, 1e-6);
% Initial conditions
y0 = [0; 1; xi_guess(1); S; xi_guess(2)]; % Initial conditions including S for theta at eta = 0
% Solve the ODE system
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec), [0 eta_end], y0, options);
% Check the boundary condition at eta_end
bc_error_f_prime = y(end, 2); % f'(eta_end) should be 0
bc_error_theta = y(end, 4); % theta(eta_end) should be 0
% Adjust xi using a simple iteration (could use a more sophisticated method)
xi_new = xi_guess;
iteration_count = 0;
max_iterations = 100; % Limit the number of iterations to prevent infinite loops
while (abs(bc_error_f_prime) > tol || abs(bc_error_theta) > tol) && iteration_count < max_iterations
% Simple adjustment step
xi_new(1) = xi_new(1) – bc_error_f_prime * 0.1;
xi_new(2) = xi_new(2) – bc_error_theta * 0.1;
y0 = [0; 1; xi_new(1); S; xi_new(2)];
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M), [0 eta_end], y0, options);
bc_error_f_prime = y(end, 2);
bc_error_theta = y(end, 4);
iteration_count = iteration_count + 1;
end
if iteration_count >= max_iterations
error(‘Shooting method failed to converge.’);
end
xi = xi_new;
end
function dydeta = ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M)
% Extract variables from y
f = y(1);
f_prime = y(2);
f_double_prime = y(3);
theta = y(4);
theta_prime = y(5);
% Define the system of ODEs
f_triple_prime = A1 * ((f_prime)^2 – f * f_double_prime) + A2 * M * f_prime + K_p * f_prime – beta * A1 * (f^2 * f_triple_prime – 2 * f * f_prime * f_double_prime);
theta_double_prime = k_f * Pr * (A3 * f * theta_prime – Ec * A4 * (f_double_prime)^2 – Q * theta) / k_hnf;
% Return derivatives as a column vector
dydeta = [f_prime; f_double_prime; f_triple_prime; theta_prime; theta_double_prime];
end I tried to solve a ode system using rk method with shooing technique. But I have a lot of errors. How can I solve this issue.
function bvp_shooting_rk_2()
% Define constants and parameters
rho_f = 783; rCp_f = 2090 * rho_f; k_f = 0.145; rb_f = 21e-6; Pr = 6;
rho_s1 = 1800; rCp_s1 = 717 * rho_s1; k_s1 = 5000; rb_s1 = 6.30e7;
rho_s2 = 10500; rCp_s2 = 235 * rho_s2; k_s2 = 429; rb_s2 = 63e-6;
m = 3; phi_s1 = 0.01; phi_s2 = 0.01; M = 0; K_p = 0.5; beta = 0.5;
S = 0.5; % Initial condition for theta at eta = 0
B_i = 0.5; Q = 0.01; Ec = 0.8;
% Assume values for mu_f and sigma_f, as they are not defined in the problem
mu_f = 1; % Dynamic viscosity of the base fluid (assumed)
sigma_f = 1; % Electrical conductivity of the base fluid (assumed)
rho_hnf = (1-phi_s2)*((1-phi_s1)*rho_f + phi_s1*rho_s1) + phi_s2*rho_s2;
rCp_hnf = (1-phi_s2)*((1-phi_s1)*rCp_f + phi_s1*rCp_s1) + phi_s2*rCp_s2;
mu_hnf = mu_f / ((1-phi_s1)^2.5 * (1-phi_s2)^2.5);
k_bf = k_f * (k_s1 + (m-1)*k_f – (m-1)*phi_s1*(k_f – k_s1)) / (k_s1 + (m-1)*k_f – phi_s1*(k_f – k_s1));
k_hnf = k_bf * (k_s2 + (m-1)*k_bf – (m-1)*phi_s2*(k_bf – k_s2)) / (k_s2 + (m-1)*k_bf – phi_s2*(k_bf – k_s2));
rb_hnf = (1-phi_s2)*((1-phi_s1)*rb_f + phi_s1*rb_s1) + phi_s2*rb_s2;
sigma_bf = sigma_f * (1-phi_s1)^2.5;
sigma_hnf = sigma_bf * (1-phi_s2)^2.5;
A1 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5 * ((1-phi_s2)*(1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f);
A2 = (1-phi_s2) * (1-phi_s1 + phi_s1*rho_s1/rho_f) + phi_s2*rho_s2/rho_f;
A3 = (1-phi_s2) * (1-phi_s1 + phi_s1*rCp_s1/rCp_f) + phi_s2*rCp_s2/rCp_f;
A4 = (1-phi_s1)^2.5 * (1-phi_s2)^2.5;
% Initial guess for the shooting method
xi_guess = [1; 1]; % Initial guesses for f”(0) and theta'(0)
eta_end = 25; % End of the interval
tol = 1e-6; % Tolerance
% Solve the BVP using the shooting method
[xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S);
% Plot the solution
figure;
subplot(2, 1, 1);
plot(eta, y(:, 1), ‘b-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘f(eta)’);
title(‘Solution for f(eta) using Shooting Method with RK’);
grid on;
subplot(2, 1, 2);
plot(eta, y(:, 4), ‘r-‘, ‘LineWidth’, 2);
xlabel(‘eta’);
ylabel(‘theta(eta)’);
title(‘Solution for theta(eta) using Shooting Method with RK’);
grid on;
end
function [xi, y, eta] = shooting_method(xi_guess, eta_end, tol, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, S)
% Shooting method to adjust xi
options = odeset(‘RelTol’, 1e-6, ‘AbsTol’, 1e-6);
% Initial conditions
y0 = [0; 1; xi_guess(1); S; xi_guess(2)]; % Initial conditions including S for theta at eta = 0
% Solve the ODE system
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec), [0 eta_end], y0, options);
% Check the boundary condition at eta_end
bc_error_f_prime = y(end, 2); % f'(eta_end) should be 0
bc_error_theta = y(end, 4); % theta(eta_end) should be 0
% Adjust xi using a simple iteration (could use a more sophisticated method)
xi_new = xi_guess;
iteration_count = 0;
max_iterations = 100; % Limit the number of iterations to prevent infinite loops
while (abs(bc_error_f_prime) > tol || abs(bc_error_theta) > tol) && iteration_count < max_iterations
% Simple adjustment step
xi_new(1) = xi_new(1) – bc_error_f_prime * 0.1;
xi_new(2) = xi_new(2) – bc_error_theta * 0.1;
y0 = [0; 1; xi_new(1); S; xi_new(2)];
[eta, y] = ode45(@(eta, y) ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M), [0 eta_end], y0, options);
bc_error_f_prime = y(end, 2);
bc_error_theta = y(end, 4);
iteration_count = iteration_count + 1;
end
if iteration_count >= max_iterations
error(‘Shooting method failed to converge.’);
end
xi = xi_new;
end
function dydeta = ode_system(eta, y, A1, A2, A3, A4, K_p, beta, Pr, k_f, k_hnf, Q, Ec, M)
% Extract variables from y
f = y(1);
f_prime = y(2);
f_double_prime = y(3);
theta = y(4);
theta_prime = y(5);
% Define the system of ODEs
f_triple_prime = A1 * ((f_prime)^2 – f * f_double_prime) + A2 * M * f_prime + K_p * f_prime – beta * A1 * (f^2 * f_triple_prime – 2 * f * f_prime * f_double_prime);
theta_double_prime = k_f * Pr * (A3 * f * theta_prime – Ec * A4 * (f_double_prime)^2 – Q * theta) / k_hnf;
% Return derivatives as a column vector
dydeta = [f_prime; f_double_prime; f_triple_prime; theta_prime; theta_double_prime];
end shooting, rkf45 method MATLAB Answers — New Questions
MACRO generation in C-code using embedded coder
Is there an alternative way other than defining a simulink.paramater to generate #define MACROs in c code using embedded coder?Is there an alternative way other than defining a simulink.paramater to generate #define MACROs in c code using embedded coder? Is there an alternative way other than defining a simulink.paramater to generate #define MACROs in c code using embedded coder? embedded coder, variables MATLAB Answers — New Questions