DocumentCode
894675
Title
A modified state-space approach to multivariable self-tuning control with pole assignment
Author
Omani, F.K. ; Sinha, N.K.
Author_Institution
McMaster University, Department of Electrical & Computer Engineering, Hamilton, Canada
Volume
134
Issue
1
fYear
1987
fDate
1/1/1987 12:00:00 AM
Firstpage
31
Lastpage
37
Abstract
A method for multivariable self-tuning control is proposed. A recursive-prediction-error type algorithm is used for joint parameter and state estimation in the controller canonical form. Linear-state feedback is then used to arbitrarily place closed-loop poles. The main contribution of the proposed method is that, due to the canonical realisation adopted, online computation of transformation matrices is avoided.
Keywords
adaptive control; feedback; multivariable control systems; parameter estimation; poles and zeros; self-adjusting systems; state estimation; state-space methods; canonical realisation; closed-loop poles; linear state feedback; multivariable self-tuning control; parameter estimation; pole assignment; recursive-prediction-error; state estimation; state-space approach;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings D
Publisher
iet
ISSN
0143-7054
Type
jour
DOI
10.1049/ip-d.1987.0005
Filename
4642400
Link To Document