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How To Plot Transfer Functions In Matlab?

  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

How to solve an equation system using a interp1-variable

 Hello everyone,

 
I'm trying to solve equations in a Matlab function that is part of a Simulink model.
 
One of those two equations is an interpolation of a given array.
 
% variable definiton
% T                     function argument
% p = f(T)              values are given in form of a 69x2 double
% a | b | c | h         constants / parameters (defined or calculated beforehand)

% equations
% eqn 1
% p = interp1(p(:,1),p(:,2),T)
% eqn 2
% h = a * T + p * (b + c * T)

% As I am used to solve equations with my pocket calculator I quickly found something like this while browsing:

syms T
solve (h == a * T + interp1(p(:,1),p(:,2),T) * (b + c * T),T);

% Unfortunately I do not have the required toolbox to solve equations which is why I need to find a work-around

% my next idea was to use an iteration to solve this (which I did not formulate and test until now)
% it would be something like that though:

for T = 1:100
    p = interp1(p(:,1),p(:,2),T);
    h_iter = a * T + p * (b + c * T);
    if h_iter > h - h_marge | h_iter < h + h_marge
        break
    end
end

% with h_marge being a predefined value for accuracy tolerance
I would like to avoid such an iterational process since the iteration has to be done each simulation-step which could cause long simulation times
 
depending on the accuracy and the initial condition(s) I determine.
 
Thus, I wanted to ask you if there is another method / solution to solving that problem.


NOTE:-

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Expert Answer

 Prashant Kumar answered . 2021-10-21 06:59:13

interp1 is incompatible with symbolic parameters. You CANNOT use interp1 with solve. Period. So wherever you found that snippet of code, they were wrong.
 
You can use a tool like fzero with interp1. fzero and interp1 are compatible.
 
Next, looking at your problem, this is actually a TWO variable problem, with two equations. That is, we have known constants, a,b,c,h. And there are two unknowns. Sadly, you seem to be using p in two places at once, both as an array of known elements, and as a variable. And that is confusing as hell.
 
So I'll make the assumption that you have two variales, I'll call then T and p_T. That is p_T is given as:
 
p_T = interp1(p(:,1),p(:,2),T)
 

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What are some good alternatives to Simulink?

Matlabsolutions provide latest  MatLab Homework Help, MatLab 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. SIMULINK is a visual programing environment specially for time transient simulations and ordinary differential equations. Depending on what you need there are plenty of Free, Libre and Open Source Software (FLOSS) available: Modelica language is the most viable alternative and in my opinion it is also a superior option to MathWorks SIMULINK. There are open source implementations  OpenModelica  and  JModelica . One of the main advantages with Modelica that you can code a multidimensional ordinary differential equation with algebraic discrete non-causal equations. With OpenModelica you may create a non-causal model right in the GUI and with
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