Course Websites
ME 598 KLL - Advanced Robust Control
Last offered Spring 2023
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
Prerequisites
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.
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Advanced Robust Control | KLL | 70708 | ONL | 4 | - | Kevin Andrew Wise Zhuohuan Wu |