MATLAB Fuzzy Control Implementation with Source Code

This source code provides implementation of fuzzy logic control in MATLAB, particularly suitable for undergraduate graduation projects and technical reference. The program demonstrates key fuzzy control concepts through practical code examples, featuring complete algorithms including fuzzification, rule base implementation, inference mechanisms, and defuzzification processes. The code contains detailed comments explaining each function's purpose, such as membership function configuration using triangular or Gaussian curves, rule evaluation using min-max operations, and centroid methods for output calculation. Sample applications showcase how to tune control parameters and adapt the system for different domains like temperature regulation or motor speed control. Practical case studies illustrate real-world implementation scenarios with performance analysis. Both beginners and experienced developers can use this comprehensive resource to understand fuzzy control theory while gaining hands-on coding experience with MATLAB's Fuzzy Logic Toolbox functions.