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
I have some data y and I want to derive correlation dimension of this data.
So, I followed the example of correlation function as followings.
xdata = y(:); Np = 100; dim = ?? [~,lag] = phaseSpaceReconstruction(xdata,[],dim) tmp = correlataionDimension(xdata,'Dimenstion',dim,'Lag',lag,'NumPoints',Np)
And, here is the problem. I exactly know the dimension of original system of xdata =100, but correlation dimension of xdata is less than 10.
Then, can I use dim = 10 for given code?? Or still I need to use dim = 100?
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Hi JaeSung,
You can estimate the embedding dimension of your data using the phaseSpaceReconstruction command and use that value for the dimension argument of the correlationDimension command. You can code something like this:
[~, lag, dim] = phaseSpaceReconstruction(xdata);
cd = correlationDimension(xdata, lag, dim)
You can also experiment with the phaseSpaceReconstruction command by providing your own dimension (and lag, if you want) and look at the resulting plot to make sure that the dimension you provided makes sense. For example, you can try:
phaseSpaceReconstruction(xdata, lag, dim);
Once you are satisfied with the lag and dim values, then use them in the correlationDimension command.
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