Learn how to design, simulate, and test a basic rocket control algorithm using MATLAB tools and functions. Explore common control techniques for rocket flight dynamics and control.

Learn how MATLAB can model, simulate, analyze, and optimize control systems in power engineering, with examples of PID tuning, fault simulation, and microgrid optimization.

This project builds a demo test platform to evaluate trajectory following control algorithms for autonomous driving car in Carla simulator. Powered by Matlab engine, the control algorithms can also ...

Implementation of Fuzzy Logic in MATLAB. In Fuzzy Logic, the truth values of variables may be any real number between 0 and 1. Therefore, it can handle 'partial truth', where the truth value may range ...

Design engineers now have a cohesive workflow for optimizing and verifying embedded algorithms entirely within MATLAB, which speeds up design iterations and eliminates translation errors. Most ...

This study presents a control algorithm development framework for electrical drives. In the proposed framework, MATLAB/Simulink and JMAG software are connected.

The first course of control is under a critical review. Both the teaching material covered and the teaching methods require new considerations. Introducing interactivity in the education process makes ...

For signal processing algorithm developers, MATLAB from The MathWorks is an essential tool. Its vector semantics and powerful visualization capabilities are a necessity for algorithm development.