How can I plot this state space like the graph I attached by using tf() and step() command? Thank you! I2/E0=1/(s^3+s^2+3*s+1) NOTE:- Matlabsolutions.com provide latest MatLab Homework Help, MatLab Assignment Help , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Try these codes below please; clc; clear; close all; numerator = 1; denominator = [1,1,3,1]; sys = tf(numerator,denominator); yyaxis left SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/how-to-plot-transfer-functions-in-matlab-.php
Hi everyone, I have a travelling wave solution drawn at each time step for a set of data obtained from a previous simulation.
Tmax = 10000; m =load('solution.mat'); SS = m.sol; N = m.N1; for i = 1:50:Tmax Xval = SS(i,N); hold on plot(N,Xval,'Linewidth',2); end hold off
and below is the out put I got from the above code where x axis represents a distance (N) from 0 to 200 and y axis takes values between 0-1. .Each coloured line is drawn at a different time step.
Next, I'd like to calculate the velocity at each time step when y=0.5. I.e. I want to identify the x value when y=0.5 for each colour line and calculate the velocity as . The main question here is sometimes there are no exact points in Xval with value 0.5 or no exact N value associated to 0.5.
I'd be happy if someone could help me in creating a loop for this calculation.
NOTE:-
Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.
A simple intersection approach works —
t = linspace(0, 25, 450); x = sin(2*pi*t+rand(size(t)))/2+0.5; L = numel(t); xval = 0.5; tidx = find(diff(sign(x-xval))); % Approimate Intersections for k = 1:numel(tidx) idxrng = max(1,tidx(k)-1) : min(tidx(k)+1,L); tv(k,:) = interp1(x(idxrng), t(idxrng), xval); % Exact Interseections end xv = ones(size(tv)) * xval; Velocity = 1 ./ diff(tv); Results = table(tv(2:end), Velocity, 'VariableNames',{'Time','Velocity'})
Results = 61×2 table
Time Velocity
_______ ________
0.86599 2.0118
1.4494 1.7142
1.9056 2.1916
2.4067 1.9959
2.8642 2.1857
3.3668 1.9895
3.8813 1.9438
4.3854 1.9837
4.8913 1.9769
5.4618 1.7527
5.8731 2.4316
6.4307 1.7934
6.8758 2.2465
7.3968 1.9195
7.8853 2.0469
8.3841 2.0048
figure plot(t, x, 'DisplayName','Original Data') hold on plot(tv, xv, 'xr', 'DisplayName','Exact Intersections') hold off grid legend('Location','best')
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