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University of Illinois at Urbana-Champaign

Sensitivity methods and slow adaptation

Abstract

dc:description

In many existing model reference adaptive control (MRAC) schemes, the plant order and relative degree are assumed known. Then a full-order control parameterization is specified which allows for an exact transfer function match between the closed-loop plant and a reference model. Often for plants of modest complexity, this leads to a large number of adjustable parameters. Apart from the computational burden, an excessive parameterization imposes, a common assumption used to prove global stability requires the regressor to be Persistently Exciting (PE). This PE requirement has been tied to the spectral content of the system input, and is directly proportional to the number of parameters adjusted. Often this imposes unrealizable requirements upon the system input. This problem is especially pronounced for regulation problems where the reference and system input are zero.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rhode, Douglas Scott
Contributors dc:contributor
  • Kokotovic, P.V.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1990 Rhode, Douglas Scott
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9026301
(UMI)AAI9026301
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22885

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rhode, Douglas Scott. Sensitivity methods and slow adaptation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22885