Multivariable Control Systems
MIT OpenCourseWare offers this advanced graduate course on computer-aided design of multivariable feedback control systems. Topics include performance and robustness trade-offs, model-based compensators, Q-parameterization, ill-posed optimization problems, dynamic augmentation, linear-quadratic optimization, H-infinity controller design, Mu-synthesis, model and compensator simplification, and nonlinear effects on control loops. Assignments consist of computer-aided design problems worked in MATLAB, applying the theoretical frameworks to synthesize and evaluate controllers under realistic constraints. The course is aimed at students who already have a background in control theory and want to move into rigorous multivariable and robust control design methods. As with other MIT OCW offerings, materials include lecture notes and problem sets, free to access, with no certificate offered. It suits engineering students or practitioners looking to deepen their command of modern control system design techniques.