Fuzzy Control

Research on fuzzy control using MATLAB is currently one of the hotspots in the control field. MATLAB, as a powerful mathematical software, is widely used in fuzzy control applications. Fuzzy control is a control methodology based on fuzzy logic that establishes mathematical models to describe systems and employs fuzzy logic reasoning to achieve control objectives. In practical implementations, developers typically use MATLAB's Fuzzy Logic Toolbox to design fuzzy inference systems (FIS), define membership functions for input/output variables, and create rule bases using linguistic variables. The core algorithm involves fuzzification of crisp inputs, rule evaluation through min-max operations, and defuzzification using methods like centroid calculation to generate precise control outputs. This approach effectively handles system uncertainties and complexities, demonstrating high robustness and adaptability. Consequently, MATLAB-based fuzzy control research shows promising application prospects in areas such as automated control systems, robotics, and traffic management, with potential to become a mainstream technology in the control engineering domain.