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