Fuzzy Control Course Project

This article presents my graduate course project for Intelligent Computing, which includes fully functional m-files and mdl files implementing fuzzy control systems. The project contains MATLAB scripts (m-files) defining fuzzy logic membership functions, rule bases, and inference mechanisms, along with Simulink models (mdl files) demonstrating real-time fuzzy control applications. Through this project, I conducted in-depth research on fuzzy control principles and their practical implementations, validating theoretical knowledge through hands-on coding and simulation. The implementation features key fuzzy logic components including fuzzification interfaces, rule evaluation using Mamdani or Sugeno methods, and defuzzification techniques. This project served as an excellent learning opportunity, significantly enhancing my understanding of intelligent computing methodologies while improving my programming skills and problem-solving capabilities in developing AI-based control systems.