This course provides a comprehensive study of adaptive and intelligent control systems. It covers a range of topics, starting with mathematical preliminaries and a review of classical control techniques and state-space control methods. The course then delves into fuzzy logic, systems and control, system identification, adaptive control methods, and neural network control. Practical experience in designing and implementing adaptive and intelligent controllers is emphasized through hands-on labs and project-based learning, with simulation and laboratory experiments using tools like MATLAB/Simulink.

CILO-1: Recognize and describe classical control methods and state-space control techniques. CILO-2: Explain and implement system identification, adaptive control and Kalman filters techniques for various applications. CILO-3: Design and implement fuzzy logic controllers and neural network controllers in real-world scenarios. CILO-4: Use adaptive and intelligent control theory to solve practical problems.