Fuzzy Control Algorithm Implementation and M-files

In your documentation, you reference your graduation project which involves fuzzy control algorithms and M-files. Fuzzy control algorithms represent a control methodology based on fuzzy logic, whose core concept introduces fuzzy variables into control systems to better handle uncertainty and nonlinear problems. For your graduation project implementation, you employed fuzzy control algorithms to address the specific research problem you investigated. The mentioned M-files likely serve as the code implementation for your algorithm, possibly containing key components such as: - Membership function definitions for input/output variables - Fuzzy rule base implementation using if-then structures - Defuzzification methods (e.g., centroid or weighted average) - System simulation and controller tuning routines While we would need additional information to precisely determine the M-files' specific functionality, your graduation project appears to be a valuable and interesting undertaking that provided substantial opportunity to explore advanced control methodologies and gain practical implementation experience. The project likely involved MATLAB's Fuzzy Logic Toolbox functions or custom implementations of fuzzy inference systems for controller design and system analysis.