DocumentCode
849646
Title
Adaptive stabilization of linear systems with unknown high-frequency gains
Author
Mudgett, David R. ; Morse, A. Stephen
Author_Institution
Yale University, New Haven, CT, USA
Volume
30
Issue
6
fYear
1985
fDate
6/1/1985 12:00:00 AM
Firstpage
549
Lastpage
554
Abstract
This paper presents an algorithm for adaptively controlling a single-input, single-output process admitting an
-dimensional, minimum-phase linear model of relative degree n*, with unknown parameters. A priori knowledge of the sign of the model\´s high frequency gain is not required, and a sufficiently rich probing signal is not needed for stabilization.
-dimensional, minimum-phase linear model of relative degree n*, with unknown parameters. A priori knowledge of the sign of the model\´s high frequency gain is not required, and a sufficiently rich probing signal is not needed for stabilization.Keywords
Adaptive control, linear systems; Linear uncertain systems; Stability, linear systems; Uncertain systems, linear; Adaptive control; Automatic control; Control systems; Frequency; Linear systems; Polynomials; Programmable control; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1985.1104006
Filename
1104006
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