The first file aMPC_parameters.m is a Matlab script that stores all the variables needed to run the system model in the Simulink environment. The Simulink model consists of two main elements: a ...

MATLAB and Simulink offer various tools and libraries to help you create and modify your model, such as the Control System Toolbox, the Simscape platform, and the Model-Based Design approach.

Learn how to use MATLAB to design and test robust process control strategies for dynamic systems. Discover how to model, simulate, analyze, optimize, and validate your control systems.

This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wake Steering: a Koopman Dynamic Mode Decomposition Approach. The ...

MATLAB and Simulink are now being used extensively in not only academia as a teaching aid, a learning aid and a research tool but also industry for modeling, analysis, design and rapid prototyping. As ...

For permanent magnet synchronous motors, the traditional model predictive torque control algorithm meets the problem of relying on position sensor. Therefore, a model predictive torque control method ...

Taking the linear inverted pendulum as the controlled object, the inverted pendulum simulation experimental platform is designed and implemented by Matlab/GUI. The platform includes six simulation ...

The work presents the offline and real-time simulation methodologies for rapid control prototyping in Matlab/Simulink, and compares the results experimentally. ... “Case-study for HW Accelerated FEA ...

In article results of spiking neural network model realization on based on Izhikevich mathematical model in MATLAB environment are considered. It is known that complited mathematical model of a ...