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How to run .m file in python?

  I have a .m code what I want to run in python. Is it any easy way? 1. this code is not a function. 2. don't want to show the matlab window. 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. T his is not a big deal. The python code looks like: import matlab.engine eng = matlab.engine.start_matlab() eng.simple_script(nargout=0) eng.quit() The Matlab script would be perhaps this one line saved as simple_script.m: a = 'it works easily...' Make sure that the script is saved in a folder matlab knows as a search folder. Then run your python script and get the answer:   SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolu...
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what is the difference between simulink control design and control system toolbox?

 Hi,

while going through simulink control design i came across a thing that we can linearize non linear models ,

  1. Is that the only different feature we can do in simulink control design than control system toolbox?
  2. Please explain what is "linearizing a non linear model" with simple example?

 


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.


1. Two different products. Control System Toolbox lets you analyze and design control systems in MATLAB. You can do that from the command line or using interactive tools like Control System Tuning app (SISO Tool).
Simulink Control Design requires Control System Toolbox and lets you analyze and design control systems modeled in Simulink. You can:
  • trim and linearize Simulink models
  • do frequency response estimation for Simulink models
  • automatically tune parameters of a PID Controller block
  • Interactively tune gains of controller blocks using automated techniques or using standard methods such as bode plots, and root locus. In case your control system consists of multiple loops, t

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