DocumentCode :
1006352
Title :
Common Lyapunov functions and gradient algorithms
Author :
Liberzon, Daniel ; Tempo, Roberto
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois, Urbana, IL, USA
Volume :
49
Issue :
6
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
990
Lastpage :
994
Abstract :
This note is concerned with the problem of finding a quadratic common Lyapunov function for a large family of stable linear systems. We present gradient iteration algorithms which give deterministic convergence for finite system families and probabilistic convergence for infinite families.
Keywords :
Lyapunov methods; convergence; gradient methods; linear matrix inequalities; linear systems; stability; time-varying systems; deterministic convergence; finite system families; gradient iteration algorithm; infinite families; linear matrix inequalities; probabilistic convergence; quadratic common Lyapunov functions; stable linear system; switched systems; Books; Convergence; Feedback; Iterative algorithms; Iterative methods; Linear matrix inequalities; Linear systems; Lyapunov method; Stability analysis; Time varying systems; Common Lyapunov functions; gradient algorithms; randomized algorithms; switched linear systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2004.829632
Filename :
1304925
Link To Document :
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