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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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How to PID tuning to meet conditions for settling time and overshoot

  PID tuning to meet conditions for settling time and overshoot while a stable system with minimum peak time and zero velocity error. So I am trying to find the gain values for a PI control system that would give me a settling time not exceeding 6 seconds, and an maximum overshoot not going over 5% while ensuring that the peaktime is the lowest it can be, and that the system is stable, and also has zero velocity error. I have written the following code. Starting with a kp and ki value of 1 each, I get a system that gives desirable overshoot and settling time, but I am wondering if the peaktime can be even lower while still having settling time <= 6 and overshoot <= 5. I am using the following toolboxes: Control System Toolbox Questions Using the rlocus function, I have also shown that the real parts of the poles are negative, so this demonstrates that my system is stable right? Also am I using Lsim correctly to determine if velocity error is zero? The resultant graph has a gr...

how find ramp response

  what is method to find out ramp response of a transfer system.......... there is any command like step or impulse? 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. You could get the ramp response by dividing your transfer function by s, and then taking the step response.   For example:   s = tf('s'); G = 1/(s+1); figure subplot(311), impulse(G);   SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/how-find-ramp-response.php

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 , Is that the only different feature we can do in simulink control design than control system toolbox? 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 an...

How to compute control system's performance parameters?

J = 0.2; b = 0.1; K = 0.2; R = 10; L = 5; s = tf('s'); p = K/((J*s+b)*(L*s+R)+K^2); step(p,200) [y,t]=step(p,200); stepinfo(y) With the following code, I want to measure the rise time. Using the stepinfo command, this is what pops in my command window : ans = struct with fields: RiseTime: 94.5571 %%Rise time SettlingTime: 172.5924 SettlingMin: 0.1735 SettlingMax: 0.1923 Overshoot: 0 Undershoot: 0 Peak: 0.1923 PeakTime: 1378 But when I check the parameters using the step response graph, the answer is different. So, why am I getting two different rise times? Any solution? 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 ...

How MATLAB makes the distinction between P-Cores and E-Cores?

  It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? 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...

How to explain an ANN graph?

  Hello, I'm trying to interpret an ANN graph for a paper, but I'm not sure where to start. Should I explain the detailed computations for each data point, or is there a general approach I can use to highlight the overall differences between the two groups? How do I know if it's considered a good result? Here's a sample figure y=root mean square error, x=number of neurons y=displacement, x=time points 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. Hi Anne,   You asked some good questions.   Based on your first question, it seems like you are analyzing the performance of a neural network model by comparing the roo...