ME 622 Robust and Adaptive Control for Dynamical Systems
This course covers the synthesis and analysis of robust adaptive control of dynamical systems that are subject to parametric and dynamic uncertainties, such as multirotor drones flying in windy weather conditions, rockets losing fuel mass as they are ascending into space, or robot manipulators carrying payloads of different weight. This course on robust and adaptive control theory provides rigorous mathematical foundations for synthesizing and analyzing control systems in the presence of uncertainties. Topics covered in this course include Lyapunov’s stability theory, Model Reference Adaptive Control (MRAC), ?1 Adaptive Control, and transient performance and robustness to disturbance and measurement noise. The semester-long project allows students to design, implement, and verify the control approaches learned in this course using MATLAB and SIMULINK.
Distribution
Mechanical Engineering Program