Advanced Control System

Digital controllers by studying the effects of sampling, implementation of digital PID controller, stability, tuning, cascade control, Kalman filter, system Identification, model predictive control, statistical process control, Fuzzy logic controllers, tuning of fuzzy logic controllers, he use of expert systems and neural networks in industrial control, and design packages for process control systems with examples including Simulink and MATLAB.