Skip to main content

LUP Student Papers

LUND UNIVERSITY LIBRARIES

Subspace Based Identification for Adaptive Control

Schofield, Brad (2003) In MSc Theses
Department of Automatic Control
Abstract
This thesis describes the results of an investigation into the use of Subspace-based System Identification techniques in the field of Adaptive Control. The project aims included adaption of subspace algorithms for online use, proposal of new algorithms of adaptive control based on these algorithms, and analysis of properties of the proposed systems. The thesis includes reviews of various subspace algorithms used in the investigation, as well as a brief review of cur-rent adaptive control algorithms. A direct adaptive control algorithm based on a combination of subspace methods and model predictive control techniques, as well as an indirect algorithm combining an implemented online subspace identification algorithm and a model predictive... (More)
This thesis describes the results of an investigation into the use of Subspace-based System Identification techniques in the field of Adaptive Control. The project aims included adaption of subspace algorithms for online use, proposal of new algorithms of adaptive control based on these algorithms, and analysis of properties of the proposed systems. The thesis includes reviews of various subspace algorithms used in the investigation, as well as a brief review of cur-rent adaptive control algorithms. A direct adaptive control algorithm based on a combination of subspace methods and model predictive control techniques, as well as an indirect algorithm combining an implemented online subspace identification algorithm and a model predictive controller, are presented (Less)
Please use this url to cite or link to this publication:
author
Schofield, Brad
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
MSc Theses
report number
TFRT-5706
ISSN
0280-5316
language
English
id
8848088
date added to LUP
2016-03-19 17:35:12
date last changed
2016-03-19 17:35:12
@misc{8848088,
  abstract     = {This thesis describes the results of an investigation into the use of Subspace-based System Identification techniques in the field of Adaptive Control. The project aims included adaption of subspace algorithms for online use, proposal of new algorithms of adaptive control based on these algorithms, and analysis of properties of the proposed systems. The thesis includes reviews of various subspace algorithms used in the investigation, as well as a brief review of cur-rent adaptive control algorithms. A direct adaptive control algorithm based on a combination of subspace methods and model predictive control techniques, as well as an indirect algorithm combining an implemented online subspace identification algorithm and a model predictive controller, are presented},
  author       = {Schofield, Brad},
  issn         = {0280-5316},
  language     = {eng},
  note         = {Student Paper},
  series       = {MSc Theses},
  title        = {Subspace Based Identification for Adaptive Control},
  year         = {2003},
}