ME 562

Fall 2020 All Classes

All Classes

Robust Adaptive Control

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Credit: 4 hours.

Mathematical foundation for synthesis and analysis of adaptive control systems: Lyapunov stability theory; methods of direct and indirect model reference adaptive control; recent methods, such as L1 adaptive control, that enable adaptive control with desired transient and steady-stage performance specifications.

Prerequisite: Any of ECE 486, ECE 515, ECE 528, GE 424, ME 460.

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ME 562 class schedule data for fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	63967	Online Lecture	AL1	11:00AM -12:20PM	MW	n.a.	Hovakimyan, N Wan, W	Part of Term: 1 Date Range: 08/24/20-12/09/20 Section Info: Many dynamic systems to be controlled have both parametric and dynamic uncertainties. For instance, robot manipulators may carry large objects with unknown inertial parameters. Power systems may be subjected to large variations in loading conditions. Fire-fighting aircraft may experience considerable mass changes as they load and unload large quantities of water. Adaptive control theory is motivated by similar examples and offers solutions for controlling systems in the presence of uncertainties. This course presents a rigorous mathematical foundation for synthesis and analysis of robust adaptive control systems. It covers fundamentals of Lyapunov stability theory and robust control, presents methods of direct and indirect model reference adaptive control, and places the focus on L1 adaptive control. Various examples will be discussed throughout the course to illustrate the results. Time permitting, details of recent flight tests of NASA’s subscale commercial jet will be analyzed in details.