Robust Control

Description

Modeling of uncertain linear systems and system parameterization. Model uncertainty and robustness. Polytopic uncertainties and norm-bounded uncertainties. Domain stability, ????∞ norm, and ????2 norm. Linear matrix inequalities and their numerical solutions. Stability of uncertain linear systems in continuous time and Elements of robust control theory. Norms of signals and systems. Performance specifications. discrete time. ????∞Filtering, Loop transfer recovery. ????∞ Control, Mixed ????2−????∞ control.

Program

PhD in Electrical & Control Engineering

Objectives

• The student should be able to: 1. Synthesize of uncertain linear systems in continuous time and discrete time. 2. Define, isolate, and formalize the system uncertainties. 3. Learn how to add more control objectives and get a possible solution. 4. Design, assess, and simulate linear robust feedback under system uncertainties. 5. Construct, demonstrate, analyze, synthesize, and implement robust feedback under system uncertainties. 6. Assess and apply modern optimal and robust ????2 and ????∞feedbacks. 7. Understand the difference between robust and adaptive control.