Multivariable Control Theory

Topics

• Students will be able to learn how to model dynamical systems for multivariable control by case studies.
• Students will be able to know state-space representation, transfer function matrix and transition matrix approaches.
• Students will be able to understand optimal control theory via case studies in linear quadratic regulator (LQR) and implicit model following (IMF).
• Students will be able to learn robust control theory including H-infinity control design.
• Students will be able to know adaptive control approaches including gain scheduling and model-reference adaptive systems (MRAS).
• Students will be able to gain a further understanding of modern control approaches including model predictive control (MPC), mu-synthesis, sliding mode control and feedback linearization in an independent project.

Official roster learning outcomes