Course Websites

ME 598 KLL - Advanced Robust Control

Last offered Spring 2022

Official Description

Subject offerings of new and developing areas of knowledge in mechanical engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Section Description

This course covers advanced robust control methods including optimal control using observer feedback, Linear Quadratic Gaussian, Kalman Filtering, H-infinity optimal control, static and dynamic projective control, and the Loop Transfer Recovery process to recover state-feedback frequency domain properties in observer based designs. None of these methods are covered in the ME562 course. The course then introduces adaptive augmentation to the optimal control observer-based architectures in which the observer becomes a closed-loop reference model. This adaptive control methods is completely different from the L1 Adaptive Control method conceived by Hovakimyan and Cao

Related Faculty

Subject Area

Mechanical Science and Engineering

Course Description

This course covers graduate-level control system design methods for multi-input multi-output systems. The course begins with linear optimal based methods in robust control, and is followed by nonlinear neural-network based Model Reference Adaptive Control (MRAC).

Credit Hours

4 hours


BS degree in engineering or science from an accredited college in the United States or an approved institution of higher learning abroad and ME 598 - Applied Control System Design and Analysis with Aerospace Examples or consent of instructor.

Advanced Robust ControlKLL70708ONL4 -    Kevin Andrew Wise