Fuzzy Logic Control for Nonlinear Systems

Implement fuzzy logic controllers for nonlinear systems using MATLAB's Fuzzy Logic Toolbox. This project demonstrates applications in robotics, industrial automation, and complex process control. The tutorial covers membership function design, rule base optimization, and adaptive tuning techniques. Learn to handle system uncertainties, compare with PID controllers, and deploy to real-time systems. Includes case studies on temperature control, autonomous navigation, and vibration damping.