DocumentCode :
321224
Title :
Analysis of affinely parameter-varying systems using parameter-dependent Lyapunov functions
Author :
Sparks, Andrew G.
Author_Institution :
Wright Patterson Air Force Base, OH, USA
Volume :
2
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
990
Abstract :
Stability and performance of linear parameter-varying systems whose parameters appear affinely are considered. Parameter dependent Lyapunov functions and the S-procedure are used to derive convex conditions in the form of linear matrix inequalities (LMI) that guarantee stability and an induced L2 norm bound for all allowable parameter variations. In each case, the parameter dependence is eliminated from the LMI so that no parameter gridding is required to verify the condition. The new analysis technique is an improvement over existing results that require LMI to be evaluated over a dense grid of parameter values
Keywords :
Lyapunov methods; control system analysis; matrix algebra; optimal control; stability criteria; time-varying systems; LMI; S-procedure; affinely parameter-varying system analysis; induced L2 norm bound; linear matrix inequalities; parameter-dependent Lyapunov functions; performance; stability; Artificial intelligence; Ear; Linear matrix inequalities; Lyapunov method; Robustness; Sparks; Stability; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.657573
Filename :
657573
Link To Document :
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