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RELAXING CONVERGENCE ASSUMPTIONS FOR CONTINUOUS
ADAPTIVE CONTROL
by
Mubarak Alharashani
||||||||||||||||||||||||{
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Ful llment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
August 2010
Copyright 2010 Mubarak Alharashani
Object Description
| Title | Relaxing convergence assumptions for continuous adaptive control |
| Author | Alharashani, Mubarak |
| Author email | malharashani@gmail.com; alharash@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2010-06-07 |
| Date submitted | 2010 |
| Restricted until | Unrestricted |
| Date published | 2010-06-22 |
| Advisor (committee chair) | Safonov, Michael G. |
| Advisor (committee member) |
Jonckheere, Edmond Udwadia, Firdaus |
| Abstract | Adaptive control convergence has been proved for long time by using slow switching schemes through separating the two successive switching events by a positive time interval (e.g., dwell-time, average dwell-time, hysteresis switching technique). This thesis addresses the inherent limitations of some logic-based switching among infinite (i.e. continuum) set of candidate controllers. In this thesis, we examine adaptive control convergence in the context of well-known hysteresis switching algorithm by relaxing the usual requirement that the hysteresis constant is strictly positive. Relaxing this constraint allows the adaptive controller to converge to a unique optimum in the case of an infinite (continuum) candidate controller set, provided that at least one controller in the controller set has the ability to satisfy adaptive control performance. |
| Keyword | adaptive control; convergence |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3143 |
| Contributing entity | University of Southern California |
| Rights | Alharashani, Mubarak |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Alharashani-3865 |
| Archival file | uscthesesreloadpub_Volume51/etd-Alharashani-3865.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Full text | RELAXING CONVERGENCE ASSUMPTIONS FOR CONTINUOUS ADAPTIVE CONTROL by Mubarak Alharashani ||||||||||||||||||||||||{ A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) August 2010 Copyright 2010 Mubarak Alharashani |
