Learn how to use MATLAB to simulate nonlinear and complex process dynamics in four steps: define the model, solve the equations, plot the results, and analyze sensitivity. Agree & Join LinkedIn ...

MATLAB Solutions: I provide MATLAB scripts and functions that implement the optimization algorithms, constraints, and objective functions for each problem. Sensitivity Analysis: For some problems, I ...

Abstract: In order to analyze the difference between two kinds of engineering software-Matlab and LabVIEW in dealing with the issue of non-linear curve fitting, we study the implementation methods in ...

All necessary info to run the code is given within the comments in nsamdf_nonlinear_measure.m. Please refer to and cite the paper below if you utilize this code in your work. All necessary info about ...

A MATLAB based environment is proposed to illustrate the concept of zero dynamics appearing in nonlinear control design. This is done through the study of the stability of (torque/flux) oriented ...

This research extensively evaluates three leading mathematical software packages: Python, MATLAB, and Scilab, in the context of solving nonlinear systems of equations with five unknown variables. The ...

The response theory is based on the Ehrenfest equation with an additional damping term representing the rate of relaxation, which is solved for the unknown time-dependent wave function parameters. The ...

Ma, C. (2010) Optimization Method and Matlab Program Design. Science Press, Beijing. ... First, the original problem is converted into an equivalent continuous optimization problem by using NCP ...