Implementation of Fuzzy Control in MATLAB

In this program, I have implemented fuzzy control technology—an intuitive control approach based on human reasoning and experience that effectively handles systems difficult to model using traditional precise control methods. The program is independently developed and does not utilize MATLAB's pre-existing Fuzzy Logic Toolbox.

To achieve this implementation, I first studied the fundamental theories and mathematical models of fuzzy control. These concepts were then applied to real-world problems, with algorithms coded in MATLAB using custom rule bases, membership functions, and inference mechanisms. Through iterative testing and parameter tuning, the program now accurately controls target system behavior with a Mamdani-type or Sugeno-type fuzzy inference system.

The implementation includes additional features such as a graphical user interface (GUI) and data visualization tools. The GUI allows users to input variables and monitor system responses interactively, while visualization components plot membership functions, rule surfaces, and real-time control performance using MATLAB's plotting functions. These enhancements aid in analyzing system behavior and provide valuable data for further research. Overall, this program serves as a practical resource for those studying fuzzy control techniques.