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
Link To Document :
