Overview
Description
Included topics are online recursive least squares algorithm, gradient algorithm, Lyapunov stability theorem, persistence of excitation and sufficiently rich signals, model reference adaptive control, pole-placement adaptive control, adaptive backstepping, adaptive output feedback control, high-gain observer, neuro-adaptive control.
Requirements
Recommended Preparation
ME 710
Original catalog text
Recommended Preparation
Recommended Preparation: ME 710.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring - Even Years
Terms
spring
Attributes
Standard
Learning Outcomes
- apply engineering research and theory to advance the art, science, and practice of the discipline.
- design adaptive controllers for linear systems and certain nonlinear systems and analyze their performances.
- estimate system parameters using gradient algorithm and least squares algorithm.