Linear systems review. Performance specifications of control systems. Classical controller design techniques (root locus, Nyquist, Bode, and Nichols methods). Design of industrial controllers with two and three terms (PI, PD, PID). Lead and lag compensator design. Parametric representation of stabilizing controllers. Robust stability and performance. Loop shaping. Design for unstable or non-minimum phase systems. Discrete-time control system design. Controllability, observability, and Kalman decomposition. State-space control system design (pole placement, observers, Kalman filtering). Design of stabilization controllers using Lyapunov methods. Implementation of compensators using computers and digital signal processors. Constrained optimization criteria. Calculus of variations. Optimal control. Linear Quadratic Regulator (LQR) design.

Laboratory Exercises: Use of MATLAB for analysis, simulation, and controller design.