Hey,
I want to send signal from source then will i be able to collect from antennas that are ula, without entering incident angle into collector function.
ex.
rxsig = collector(signal, inc_angle);
Collect all signals and finding angle using phase difference between linear antennasHey,
I want to send signal from source then will i be able to collect from antennas that are ula, without entering incident angle into collector function.
ex.
rxsig = collector(signal, inc_angle);
Collect all signals and finding angle using phase difference between linear antennas Hey,
I want to send signal from source then will i be able to collect from antennas that are ula, without entering incident angle into collector function.
ex.
rxsig = collector(signal, inc_angle);
Collect all signals and finding angle using phase difference between linear antennas phased array, collector MATLAB Answers — New Questions

​

Hello,
I haven’t used Matlab in the few months on my Mac OS ver 10.14.6, and not sure what happened but Matlab R2021a runs very slowly and uses 100% CPU. I’ve already updated R2021a with the update patch. Made sure Editor doesn’t start with the start of MATLAB. There are no viruses, as far as I know. Starting it up using Terminal does not solve the problem.Hello,
I haven’t used Matlab in the few months on my Mac OS ver 10.14.6, and not sure what happened but Matlab R2021a runs very slowly and uses 100% CPU. I’ve already updated R2021a with the update patch. Made sure Editor doesn’t start with the start of MATLAB. There are no viruses, as far as I know. Starting it up using Terminal does not solve the problem. Hello,
I haven’t used Matlab in the few months on my Mac OS ver 10.14.6, and not sure what happened but Matlab R2021a runs very slowly and uses 100% CPU. I’ve already updated R2021a with the update patch. Made sure Editor doesn’t start with the start of MATLAB. There are no viruses, as far as I know. Starting it up using Terminal does not solve the problem. r2021a slow, 100% cpu, crashes MATLAB Answers — New Questions

​

I am having trouble implementing a real time DAC in my code. I am working with an NI USB-6356 and I have succesfully implemented in my Matlab Code an ADC than reads the real time signal and process it. I am trying to implement a DAC with the DSP tool box (as I did with the ADC) but for some reason it doesn’t work. There aren’t any apparent errors so it is being difficult to solve the problem. Can someone tell me what’s happening?

dev = ‘Dev1’;
channels = {‘ai0’, ‘ai1’};
ao = ‘ao0’; % DAC output channel

fs = 1000; % Sampling Frequency
fc = 10; % Carrier Frequency
fsub = 10; % Subcarrier Frequency
D = 1; % Decimation factor
bits = 16; % DAC Resolution
Kc = 0.01; % Proportional control gain

% Create TimeScope for visualization
scope = timescope(‘NumInputPorts’, 3, ‘TimeSpan’, 2, ‘SampleRate’, fs, …
‘ShowLegend’, true, ‘YLimits’, [-5 5], …
‘Title’, ‘Real-time Signal and Processed Signal’, …
‘ChannelNames’, {‘DAC Output’, ‘Input Signal’, ‘Modulated Signal’});

%% Data Acquisition Setup
daqSession = daq.createSession(‘ni’);

for i = 1:length(channels)
addAnalogInputChannel(daqSession, dev, channels{i}, ‘Voltage’);
end

daqSession.Rate = fs;
daqSession.IsContinuous = true;

addAnalogOutputChannel(daqSession, dev, ao, ‘Voltage’);

% Initialize NCO phase accumulator
nco_phase = 0;

lh = addlistener(daqSession, ‘DataAvailable’, …
@(src, event) processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D));

% Create an initial buffer to queue for DAC output
initialDACData = zeros(fs, 1); % Buffer of zeros to start with (length depends on initial session requirements)
queueOutputData(daqSession, initialDACData);

startBackground(daqSession);
disp(‘Press any key to stop’);
pause;

stop(daqSession);
delete(lh);
release(scope);
disp(‘Stopping data acquisition…’);

%% Function to process the signal and update DAC output
function OUT_signal = processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D)

% Input signal from ADC
signal = event.Data;
input_signal = signal(:, 2); % Input signal (from ai1)
dac_signal = signal(:, 1); % Read back the DAC signal (from ai0)

%===MANUAL NUMERICALLY CONTROLLED OSCILLATOR===
t = event.TimeStamps; % Time vector
% Set the control to adjust fc every second
onesec = 0;
tic;
persistent elapsed_time
if isempty(elapsed_time)
elapsed_time = 0;
end
% Update elapsed time
elapsed_time = elapsed_time + t(end) – t(1); % Time since last callback
% When elapsed time exceeds 1 second, update carrier frequency
if elapsed_time >= 1
% Save the current carrier frequency
% Calculate new fc using your control law: fc = fc + Kc * atan(Ik1/Qk1)
fc = fc + Kc * atan(Ik1/Qk1);
% Reset elapsed time
elapsed_time = 0;
onesec = toc;
end

% Generate DAC output
OUT_Signal = 0.5*sin(2*pi*(fc/fs)*t); % Using filtered AM as DAC signal

% Write to DAC (update Analog Output Channel)
src.queueOutputData(OUT_signal);

% Visualization
scope(input_signal, dac_signal, OUT_Signal);
endI am having trouble implementing a real time DAC in my code. I am working with an NI USB-6356 and I have succesfully implemented in my Matlab Code an ADC than reads the real time signal and process it. I am trying to implement a DAC with the DSP tool box (as I did with the ADC) but for some reason it doesn’t work. There aren’t any apparent errors so it is being difficult to solve the problem. Can someone tell me what’s happening?

dev = ‘Dev1’;
channels = {‘ai0’, ‘ai1’};
ao = ‘ao0’; % DAC output channel

fs = 1000; % Sampling Frequency
fc = 10; % Carrier Frequency
fsub = 10; % Subcarrier Frequency
D = 1; % Decimation factor
bits = 16; % DAC Resolution
Kc = 0.01; % Proportional control gain

% Create TimeScope for visualization
scope = timescope(‘NumInputPorts’, 3, ‘TimeSpan’, 2, ‘SampleRate’, fs, …
‘ShowLegend’, true, ‘YLimits’, [-5 5], …
‘Title’, ‘Real-time Signal and Processed Signal’, …
‘ChannelNames’, {‘DAC Output’, ‘Input Signal’, ‘Modulated Signal’});

%% Data Acquisition Setup
daqSession = daq.createSession(‘ni’);

for i = 1:length(channels)
addAnalogInputChannel(daqSession, dev, channels{i}, ‘Voltage’);
end

daqSession.Rate = fs;
daqSession.IsContinuous = true;

addAnalogOutputChannel(daqSession, dev, ao, ‘Voltage’);

% Initialize NCO phase accumulator
nco_phase = 0;

lh = addlistener(daqSession, ‘DataAvailable’, …
@(src, event) processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D));

% Create an initial buffer to queue for DAC output
initialDACData = zeros(fs, 1); % Buffer of zeros to start with (length depends on initial session requirements)
queueOutputData(daqSession, initialDACData);

startBackground(daqSession);
disp(‘Press any key to stop’);
pause;

stop(daqSession);
delete(lh);
release(scope);
disp(‘Stopping data acquisition…’);

%% Function to process the signal and update DAC output
function OUT_signal = processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D)

% Input signal from ADC
signal = event.Data;
input_signal = signal(:, 2); % Input signal (from ai1)
dac_signal = signal(:, 1); % Read back the DAC signal (from ai0)

%===MANUAL NUMERICALLY CONTROLLED OSCILLATOR===
t = event.TimeStamps; % Time vector
% Set the control to adjust fc every second
onesec = 0;
tic;
persistent elapsed_time
if isempty(elapsed_time)
elapsed_time = 0;
end
% Update elapsed time
elapsed_time = elapsed_time + t(end) – t(1); % Time since last callback
% When elapsed time exceeds 1 second, update carrier frequency
if elapsed_time >= 1
% Save the current carrier frequency
% Calculate new fc using your control law: fc = fc + Kc * atan(Ik1/Qk1)
fc = fc + Kc * atan(Ik1/Qk1);
% Reset elapsed time
elapsed_time = 0;
onesec = toc;
end

% Generate DAC output
OUT_Signal = 0.5*sin(2*pi*(fc/fs)*t); % Using filtered AM as DAC signal

% Write to DAC (update Analog Output Channel)
src.queueOutputData(OUT_signal);

% Visualization
scope(input_signal, dac_signal, OUT_Signal);
end I am having trouble implementing a real time DAC in my code. I am working with an NI USB-6356 and I have succesfully implemented in my Matlab Code an ADC than reads the real time signal and process it. I am trying to implement a DAC with the DSP tool box (as I did with the ADC) but for some reason it doesn’t work. There aren’t any apparent errors so it is being difficult to solve the problem. Can someone tell me what’s happening?

dev = ‘Dev1’;
channels = {‘ai0’, ‘ai1’};
ao = ‘ao0’; % DAC output channel

fs = 1000; % Sampling Frequency
fc = 10; % Carrier Frequency
fsub = 10; % Subcarrier Frequency
D = 1; % Decimation factor
bits = 16; % DAC Resolution
Kc = 0.01; % Proportional control gain

% Create TimeScope for visualization
scope = timescope(‘NumInputPorts’, 3, ‘TimeSpan’, 2, ‘SampleRate’, fs, …
‘ShowLegend’, true, ‘YLimits’, [-5 5], …
‘Title’, ‘Real-time Signal and Processed Signal’, …
‘ChannelNames’, {‘DAC Output’, ‘Input Signal’, ‘Modulated Signal’});

%% Data Acquisition Setup
daqSession = daq.createSession(‘ni’);

for i = 1:length(channels)
addAnalogInputChannel(daqSession, dev, channels{i}, ‘Voltage’);
end

daqSession.Rate = fs;
daqSession.IsContinuous = true;

addAnalogOutputChannel(daqSession, dev, ao, ‘Voltage’);

% Initialize NCO phase accumulator
nco_phase = 0;

lh = addlistener(daqSession, ‘DataAvailable’, …
@(src, event) processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D));

% Create an initial buffer to queue for DAC output
initialDACData = zeros(fs, 1); % Buffer of zeros to start with (length depends on initial session requirements)
queueOutputData(daqSession, initialDACData);

startBackground(daqSession);
disp(‘Press any key to stop’);
pause;

stop(daqSession);
delete(lh);
release(scope);
disp(‘Stopping data acquisition…’);

%% Function to process the signal and update DAC output
function OUT_signal = processSignal(src,event, fc, fs, fsub, scope, nco_phase, Kc, D)

% Input signal from ADC
signal = event.Data;
input_signal = signal(:, 2); % Input signal (from ai1)
dac_signal = signal(:, 1); % Read back the DAC signal (from ai0)

%===MANUAL NUMERICALLY CONTROLLED OSCILLATOR===
t = event.TimeStamps; % Time vector
% Set the control to adjust fc every second
onesec = 0;
tic;
persistent elapsed_time
if isempty(elapsed_time)
elapsed_time = 0;
end
% Update elapsed time
elapsed_time = elapsed_time + t(end) – t(1); % Time since last callback
% When elapsed time exceeds 1 second, update carrier frequency
if elapsed_time >= 1
% Save the current carrier frequency
% Calculate new fc using your control law: fc = fc + Kc * atan(Ik1/Qk1)
fc = fc + Kc * atan(Ik1/Qk1);
% Reset elapsed time
elapsed_time = 0;
onesec = toc;
end

% Generate DAC output
OUT_Signal = 0.5*sin(2*pi*(fc/fs)*t); % Using filtered AM as DAC signal

% Write to DAC (update Analog Output Channel)
src.queueOutputData(OUT_signal);

% Visualization
scope(input_signal, dac_signal, OUT_Signal);
end dsp, signal processing, daq, dac MATLAB Answers — New Questions

​

I have two axes, of which I’ve linked the View property. The two have different PlotBoxAspectRatio.
When rotating around in 3D, the two plots behave as I expect. You can overlay the orthogonal axes in the figure below and verify that they are visually aligned:

However, when the plots are rotated into a plane view (elevation = 90°), the same azimuth angle results in a different orientation for each plot:

>> get([a1,a2],’View’)

ans =

2×1 cell array

{[45.2690 90]}
{[45.2690 90]}
The plots will align properly when the axes are horizontal or vertical, but become misaligned in between those states. This only happens for plots with different PlotBoxAspectRatio.
What gives? Code to generate the example above is below:
f = figure(‘Color’, ‘w’); % Figure window

% Coordinates of drawn object
ax1 = [-1.0, +1.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];
ax2 = [-2.0, +2.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];

% Axes 1
a1 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.0,0.0,0.5,1.0]);
plot3(ax1(1,:),ax1(2,:),ax1(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Axes 2
a2 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.5,0.0,0.5,1.0]);
plot3(ax2(1,:),ax2(2,:),ax2(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Link view property
link = linkprop([a1,a2],’View’);
Thanks in advance!I have two axes, of which I’ve linked the View property. The two have different PlotBoxAspectRatio.
When rotating around in 3D, the two plots behave as I expect. You can overlay the orthogonal axes in the figure below and verify that they are visually aligned:

However, when the plots are rotated into a plane view (elevation = 90°), the same azimuth angle results in a different orientation for each plot:

>> get([a1,a2],’View’)

ans =

2×1 cell array

{[45.2690 90]}
{[45.2690 90]}
The plots will align properly when the axes are horizontal or vertical, but become misaligned in between those states. This only happens for plots with different PlotBoxAspectRatio.
What gives? Code to generate the example above is below:
f = figure(‘Color’, ‘w’); % Figure window

% Coordinates of drawn object
ax1 = [-1.0, +1.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];
ax2 = [-2.0, +2.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];

% Axes 1
a1 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.0,0.0,0.5,1.0]);
plot3(ax1(1,:),ax1(2,:),ax1(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Axes 2
a2 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.5,0.0,0.5,1.0]);
plot3(ax2(1,:),ax2(2,:),ax2(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Link view property
link = linkprop([a1,a2],’View’);
Thanks in advance! I have two axes, of which I’ve linked the View property. The two have different PlotBoxAspectRatio.
When rotating around in 3D, the two plots behave as I expect. You can overlay the orthogonal axes in the figure below and verify that they are visually aligned:

However, when the plots are rotated into a plane view (elevation = 90°), the same azimuth angle results in a different orientation for each plot:

>> get([a1,a2],’View’)

ans =

2×1 cell array

{[45.2690 90]}
{[45.2690 90]}
The plots will align properly when the axes are horizontal or vertical, but become misaligned in between those states. This only happens for plots with different PlotBoxAspectRatio.
What gives? Code to generate the example above is below:
f = figure(‘Color’, ‘w’); % Figure window

% Coordinates of drawn object
ax1 = [-1.0, +1.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];
ax2 = [-2.0, +2.0, NaN, 0.0, 0.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, -1.0, +1.0, NaN, 0.0, 0.0;
0.0, 0.0, NaN, 0.0, 0.0, NaN, -1.0, +1.0];

% Axes 1
a1 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.0,0.0,0.5,1.0]);
plot3(ax1(1,:),ax1(2,:),ax1(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Axes 2
a2 = axes(f, ‘Units’, ‘normalized’, ‘OuterPosition’, [0.5,0.0,0.5,1.0]);
plot3(ax2(1,:),ax2(2,:),ax2(3,:), ‘k’, ‘LineWidth’, 1.0)
axis equal vis3d off
rotate3d on

% Link view property
link = linkprop([a1,a2],’View’);
Thanks in advance! figure, axes, 3d plots MATLAB Answers — New Questions

​

I wrote an App to add lines to axes. I need to pass some variables from the workspace where this App is called to the private handling function of this App.
function demoFcn()
fs = 20e3;
t = 1/fs:1/fs:1;
f = 100;

figure;
subplot(1, 2, 1);
plot(t, cos(2*pi*f*t));
% call drawLineApp to specify X and Y for extra lines in this axes
drawLineApp(gca);
end
For example, after finishing drawing some lines, I call this to draw in the existed subplot and I have two input text box in my App for x and y, where x=t and y=sin(2*pi*f*t). Both f and t are existed variables in the workspace of the drawing function (indeed, the drawing is not done in the base workspace). If I use:
methods (Access = private)
function drawButtonPushed(app, event) % button callback function
drawLineImpl(app);
end

function drawLineImpl(app)
% app.X is string "t" from the input text box
% app.Y is string "sin(2*pi*f*t)"
% app.target is the target axes to plot
% app.params is the plotting parameter cell array
X = evalin("caller", app.X);
Y = evalin("caller", app.Y);
plot(app.target, X, Y, app.params{:});
end
end
I would not get the desired result because ‘caller’ does not point to demoFcn().
So I want to track in the function stack where drawLineApp() is last called using dbstack. But evalin specifies workspace only with options ‘base’ and ‘caller’. It comes to me whether I can specify any workspace found in the dbstack here.
By the way, I know that dbup can change the current workspace but only in debug mode. It does not work well in my case.I wrote an App to add lines to axes. I need to pass some variables from the workspace where this App is called to the private handling function of this App.
function demoFcn()
fs = 20e3;
t = 1/fs:1/fs:1;
f = 100;

figure;
subplot(1, 2, 1);
plot(t, cos(2*pi*f*t));
% call drawLineApp to specify X and Y for extra lines in this axes
drawLineApp(gca);
end
For example, after finishing drawing some lines, I call this to draw in the existed subplot and I have two input text box in my App for x and y, where x=t and y=sin(2*pi*f*t). Both f and t are existed variables in the workspace of the drawing function (indeed, the drawing is not done in the base workspace). If I use:
methods (Access = private)
function drawButtonPushed(app, event) % button callback function
drawLineImpl(app);
end

function drawLineImpl(app)
% app.X is string "t" from the input text box
% app.Y is string "sin(2*pi*f*t)"
% app.target is the target axes to plot
% app.params is the plotting parameter cell array
X = evalin("caller", app.X);
Y = evalin("caller", app.Y);
plot(app.target, X, Y, app.params{:});
end
end
I would not get the desired result because ‘caller’ does not point to demoFcn().
So I want to track in the function stack where drawLineApp() is last called using dbstack. But evalin specifies workspace only with options ‘base’ and ‘caller’. It comes to me whether I can specify any workspace found in the dbstack here.
By the way, I know that dbup can change the current workspace but only in debug mode. It does not work well in my case. I wrote an App to add lines to axes. I need to pass some variables from the workspace where this App is called to the private handling function of this App.
function demoFcn()
fs = 20e3;
t = 1/fs:1/fs:1;
f = 100;

figure;
subplot(1, 2, 1);
plot(t, cos(2*pi*f*t));
% call drawLineApp to specify X and Y for extra lines in this axes
drawLineApp(gca);
end
For example, after finishing drawing some lines, I call this to draw in the existed subplot and I have two input text box in my App for x and y, where x=t and y=sin(2*pi*f*t). Both f and t are existed variables in the workspace of the drawing function (indeed, the drawing is not done in the base workspace). If I use:
methods (Access = private)
function drawButtonPushed(app, event) % button callback function
drawLineImpl(app);
end

function drawLineImpl(app)
% app.X is string "t" from the input text box
% app.Y is string "sin(2*pi*f*t)"
% app.target is the target axes to plot
% app.params is the plotting parameter cell array
X = evalin("caller", app.X);
Y = evalin("caller", app.Y);
plot(app.target, X, Y, app.params{:});
end
end
I would not get the desired result because ‘caller’ does not point to demoFcn().
So I want to track in the function stack where drawLineApp() is last called using dbstack. But evalin specifies workspace only with options ‘base’ and ‘caller’. It comes to me whether I can specify any workspace found in the dbstack here.
By the way, I know that dbup can change the current workspace but only in debug mode. It does not work well in my case. evalin, workspace, dbstack MATLAB Answers — New Questions

​

how can I transform a circle to ellipse or airfoil in complex plane using conformal mapping and w = z + 1/z transform function?how can I transform a circle to ellipse or airfoil in complex plane using conformal mapping and w = z + 1/z transform function? how can I transform a circle to ellipse or airfoil in complex plane using conformal mapping and w = z + 1/z transform function? circle to ellipse transformation MATLAB Answers — New Questions

​

Hi everyone, I am beginner in Matlab Programming,I have been trying to solve the differential equation system given below, but I am unable to establish a workflow. Any assistance or related work would be greatly appreciated. Thanks in advance.

In the following system of differential equations, x and xb are structural responses, omga is frequency ratio, tau is time, and other parameters are constants. The requirement is that we need to provide the relationship between the structural response of the system and the frequency ratio omga.

matlab program:
function [T,X,dX] = ODE_RK4( Hfun,t,h,x0 )
if nargin < 4
error(‘The initial value must be given’);
end
if isstr(Hfun)
eval([‘Hfun = @’,Hfun,’;’]);
end
n = length(t);
if n == 1
T = 0:h:t;
elseif n == 2
T = t(1):h:t(2);
else
T = t;
end
T = T(:);
N = length(T);
x0 = x0(:);
x0 = x0′;
m = length(x0);
X = zeros(N,m);
dX = zeros(N,m);
X(1,:) = x0;
for k = 2:N
h = T(k) – T(k-1);
K1 = Hfun( T(k-1) , X(k-1,:)’ );
K2 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K1/2 );
K3 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K2/2 );
K4 = Hfun( T(k-1)+h , X(k-1,:)’+h*K3 );
X(k,:) = X(k-1,:)’ + (h/6) * ( K1 + 2*K2 + 2*K3 + K4 );
dX(k-1,:) = (1/6) * ( K1 + 2*K2 + 2*K3 + K4 );
end
dX(N,:) = Hfun( T(N),X(N,:) );

if nargout == 0
plot(T,X)
end

clc;
clear;

lambda_b = 0.01;
lambda_ns = -0.01;
lambda = 0.5;
zeta_b = 0.025;
chi = 0.0001;
alpha = 0.2;
zeta = 0.05;
z = 0.06;
omega_values = linspace(0.05, 1, 1000);
tau = linspace(0, 2*pi, 1000);
dt = tau(2) – tau(1);
X0 = [0; 0; 0; 0]; % Initial value
x_max = zeros(1, length(omega_values));
for i = 1:length(omega_values)
omega = omega_values(i);
f = @(t, X) [X(2);
-(2*zeta*omega*X(2) + 4*(2*alpha^2*X(1)^3*lambda+1/sqrt(alpha)) + lambda_b*(X(1) – X(3)) + z*cos(t)) / omega^2;
X(4);
-1/(chi*omega^2)*(2*zeta_b*omega*X(4) + lambda_ns*X(3) – lambda_b*(X(1) – X(3)))];
[T,X]= ODE_RK4(f, tau, dt,X0);
x_max(i) = max(abs(X(i, :)));
end
figure;
plot(omega_values, x_max);
xlabel(‘omega’);
ylabel(‘x_{max}’);Hi everyone, I am beginner in Matlab Programming,I have been trying to solve the differential equation system given below, but I am unable to establish a workflow. Any assistance or related work would be greatly appreciated. Thanks in advance.

In the following system of differential equations, x and xb are structural responses, omga is frequency ratio, tau is time, and other parameters are constants. The requirement is that we need to provide the relationship between the structural response of the system and the frequency ratio omga.

matlab program:
function [T,X,dX] = ODE_RK4( Hfun,t,h,x0 )
if nargin < 4
error(‘The initial value must be given’);
end
if isstr(Hfun)
eval([‘Hfun = @’,Hfun,’;’]);
end
n = length(t);
if n == 1
T = 0:h:t;
elseif n == 2
T = t(1):h:t(2);
else
T = t;
end
T = T(:);
N = length(T);
x0 = x0(:);
x0 = x0′;
m = length(x0);
X = zeros(N,m);
dX = zeros(N,m);
X(1,:) = x0;
for k = 2:N
h = T(k) – T(k-1);
K1 = Hfun( T(k-1) , X(k-1,:)’ );
K2 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K1/2 );
K3 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K2/2 );
K4 = Hfun( T(k-1)+h , X(k-1,:)’+h*K3 );
X(k,:) = X(k-1,:)’ + (h/6) * ( K1 + 2*K2 + 2*K3 + K4 );
dX(k-1,:) = (1/6) * ( K1 + 2*K2 + 2*K3 + K4 );
end
dX(N,:) = Hfun( T(N),X(N,:) );

if nargout == 0
plot(T,X)
end

clc;
clear;

lambda_b = 0.01;
lambda_ns = -0.01;
lambda = 0.5;
zeta_b = 0.025;
chi = 0.0001;
alpha = 0.2;
zeta = 0.05;
z = 0.06;
omega_values = linspace(0.05, 1, 1000);
tau = linspace(0, 2*pi, 1000);
dt = tau(2) – tau(1);
X0 = [0; 0; 0; 0]; % Initial value
x_max = zeros(1, length(omega_values));
for i = 1:length(omega_values)
omega = omega_values(i);
f = @(t, X) [X(2);
-(2*zeta*omega*X(2) + 4*(2*alpha^2*X(1)^3*lambda+1/sqrt(alpha)) + lambda_b*(X(1) – X(3)) + z*cos(t)) / omega^2;
X(4);
-1/(chi*omega^2)*(2*zeta_b*omega*X(4) + lambda_ns*X(3) – lambda_b*(X(1) – X(3)))];
[T,X]= ODE_RK4(f, tau, dt,X0);
x_max(i) = max(abs(X(i, :)));
end
figure;
plot(omega_values, x_max);
xlabel(‘omega’);
ylabel(‘x_{max}’); Hi everyone, I am beginner in Matlab Programming,I have been trying to solve the differential equation system given below, but I am unable to establish a workflow. Any assistance or related work would be greatly appreciated. Thanks in advance.

In the following system of differential equations, x and xb are structural responses, omga is frequency ratio, tau is time, and other parameters are constants. The requirement is that we need to provide the relationship between the structural response of the system and the frequency ratio omga.

matlab program:
function [T,X,dX] = ODE_RK4( Hfun,t,h,x0 )
if nargin < 4
error(‘The initial value must be given’);
end
if isstr(Hfun)
eval([‘Hfun = @’,Hfun,’;’]);
end
n = length(t);
if n == 1
T = 0:h:t;
elseif n == 2
T = t(1):h:t(2);
else
T = t;
end
T = T(:);
N = length(T);
x0 = x0(:);
x0 = x0′;
m = length(x0);
X = zeros(N,m);
dX = zeros(N,m);
X(1,:) = x0;
for k = 2:N
h = T(k) – T(k-1);
K1 = Hfun( T(k-1) , X(k-1,:)’ );
K2 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K1/2 );
K3 = Hfun( T(k-1)+h/2 , X(k-1,:)’+h*K2/2 );
K4 = Hfun( T(k-1)+h , X(k-1,:)’+h*K3 );
X(k,:) = X(k-1,:)’ + (h/6) * ( K1 + 2*K2 + 2*K3 + K4 );
dX(k-1,:) = (1/6) * ( K1 + 2*K2 + 2*K3 + K4 );
end
dX(N,:) = Hfun( T(N),X(N,:) );

if nargout == 0
plot(T,X)
end

clc;
clear;

lambda_b = 0.01;
lambda_ns = -0.01;
lambda = 0.5;
zeta_b = 0.025;
chi = 0.0001;
alpha = 0.2;
zeta = 0.05;
z = 0.06;
omega_values = linspace(0.05, 1, 1000);
tau = linspace(0, 2*pi, 1000);
dt = tau(2) – tau(1);
X0 = [0; 0; 0; 0]; % Initial value
x_max = zeros(1, length(omega_values));
for i = 1:length(omega_values)
omega = omega_values(i);
f = @(t, X) [X(2);
-(2*zeta*omega*X(2) + 4*(2*alpha^2*X(1)^3*lambda+1/sqrt(alpha)) + lambda_b*(X(1) – X(3)) + z*cos(t)) / omega^2;
X(4);
-1/(chi*omega^2)*(2*zeta_b*omega*X(4) + lambda_ns*X(3) – lambda_b*(X(1) – X(3)))];
[T,X]= ODE_RK4(f, tau, dt,X0);
x_max(i) = max(abs(X(i, :)));
end
figure;
plot(omega_values, x_max);
xlabel(‘omega’);
ylabel(‘x_{max}’); runge-kutta, matlab MATLAB Answers — New Questions

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hello,
I want to import the result data from OpenFOAM which are compressed to matlab to plot the results and compare them with the results of other flow models. Can anyone please help me with the code?

Regards,
Mahendrahello,
I want to import the result data from OpenFOAM which are compressed to matlab to plot the results and compare them with the results of other flow models. Can anyone please help me with the code?

Regards,
Mahendra hello,
I want to import the result data from OpenFOAM which are compressed to matlab to plot the results and compare them with the results of other flow models. Can anyone please help me with the code?

Regards,
Mahendra data import, zip file import, data import fromopenfoam to matlab MATLAB Answers — New Questions

​

Hello,
I am trying to import a VHDL file using the operator.vhd example. However, I receive the following error when using the importhdl function.

I beleive I have followed the example correctly, but I am at a loss as to why this is occuring. Is this a problem experienced by others at all? I’m not sure what I can try next.
Below is the operator.vhd code when it is opened within the MATLAB editor.
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity Operator is
Port ( A : in STD_LOGIC_VECTOR(3 downto 0);
B : in STD_LOGIC_VECTOR(3 downto 0);
OpSelect : in STD_LOGIC_VECTOR(2 downto 0);
Result : out STD_LOGIC_VECTOR(3 downto 0));
end Operator;

architecture Behavioral of Operator is
begin
process(A, B, OpSelect)
begin
case OpSelect is
when "000" => — Addition
Result <= A + B;
when "001" => — Subtraction
Result <= A – B;
when "010" => — Bitwise AND
Result <= A and B;
when "011" => — Bitwise OR
Result <= A or B;
when "100" => — Bitwise XOR
Result <= A xor B;
when others => — Default case
Result <= not (A + B);
end case;
end process;
end Behavioral;Hello,
I am trying to import a VHDL file using the operator.vhd example. However, I receive the following error when using the importhdl function.

I beleive I have followed the example correctly, but I am at a loss as to why this is occuring. Is this a problem experienced by others at all? I’m not sure what I can try next.
Below is the operator.vhd code when it is opened within the MATLAB editor.
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity Operator is
Port ( A : in STD_LOGIC_VECTOR(3 downto 0);
B : in STD_LOGIC_VECTOR(3 downto 0);
OpSelect : in STD_LOGIC_VECTOR(2 downto 0);
Result : out STD_LOGIC_VECTOR(3 downto 0));
end Operator;

architecture Behavioral of Operator is
begin
process(A, B, OpSelect)
begin
case OpSelect is
when "000" => — Addition
Result <= A + B;
when "001" => — Subtraction
Result <= A – B;
when "010" => — Bitwise AND
Result <= A and B;
when "011" => — Bitwise OR
Result <= A or B;
when "100" => — Bitwise XOR
Result <= A xor B;
when others => — Default case
Result <= not (A + B);
end case;
end process;
end Behavioral; Hello,
I am trying to import a VHDL file using the operator.vhd example. However, I receive the following error when using the importhdl function.

I beleive I have followed the example correctly, but I am at a loss as to why this is occuring. Is this a problem experienced by others at all? I’m not sure what I can try next.
Below is the operator.vhd code when it is opened within the MATLAB editor.
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity Operator is
Port ( A : in STD_LOGIC_VECTOR(3 downto 0);
B : in STD_LOGIC_VECTOR(3 downto 0);
OpSelect : in STD_LOGIC_VECTOR(2 downto 0);
Result : out STD_LOGIC_VECTOR(3 downto 0));
end Operator;

architecture Behavioral of Operator is
begin
process(A, B, OpSelect)
begin
case OpSelect is
when "000" => — Addition
Result <= A + B;
when "001" => — Subtraction
Result <= A – B;
when "010" => — Bitwise AND
Result <= A and B;
when "011" => — Bitwise OR
Result <= A or B;
when "100" => — Bitwise XOR
Result <= A xor B;
when others => — Default case
Result <= not (A + B);
end case;
end process;
end Behavioral; importhdl MATLAB Answers — New Questions

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