DocumentCode :
1356147
Title :
Necessary and sufficient conditions of quadratic stability of uncertain linear systems
Author :
Gu, Keqin ; Zohdy, M.A. ; Loh, Nan K.
Author_Institution :
Sch. of Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
Volume :
35
Issue :
5
fYear :
1990
fDate :
5/1/1990 12:00:00 AM
Firstpage :
601
Lastpage :
604
Abstract :
The stability of linear systems subject to possibly fast time-varying uncertainties is analyzed. A necessary and sufficient condition of quadratic stability is derived. An uncertainty stability margin coefficient ρ is introduced to give a quantitative measure of the stability. It is proposed that the uncertain region be approximated by a convex hyperpolyhedron. In this case, the computation of ρ becomes a two-level optimization problem, in which the extremum of the inner level can be reached by one of the corners of the hyperpolyhedron
Keywords :
linear systems; optimisation; stability; time-varying systems; convex hyperpolyhedron; necessary conditions; optimization; quadratic stability; sufficient conditions; time-varying uncertainties; uncertain linear systems; Control systems; Feedback control; Linear systems; Robotics and automation; Stability criteria; Sufficient conditions; Symmetric matrices; Time varying systems; Uncertain systems; Uncertainty;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.53534
Filename :
53534
Link To Document :
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