MATLAB Code Implementation for Fuzzy Control System

Under conditions of uncertain input data, we have constructed a fuzzy controller program using MATLAB's Simulink toolbox. This program effectively performs data processing and adapts to various uncertain scenarios. The fuzzy controller implementation utilizes Mamdani-type fuzzy inference systems with customized membership functions and rule bases to achieve precise control and processing, thereby enhancing system performance and stability. Key implementation aspects include fuzzy logic controller block configuration, rule editor integration, and defuzzification methods (such as centroid calculation). Furthermore, the program can be optimized and refined according to specific application requirements through parameter tuning of membership functions and rule adjustments, allowing adaptation to varying input conditions and demand changes. This fuzzy controller program thus provides a flexible and reliable tool for handling data processing tasks under input uncertainty, featuring modular design for easy integration with existing control systems.