DocumentCode :
1448041
Title :
Parameter-Dependent Lyapunov Functions for Linear Systems With Constant Uncertainties
Author :
Seiler, Peter ; Topcu, Ufuk ; Packard, Andy ; Balas, Gary
Author_Institution :
Univ. of Minnesota, Minneapolis, MN, USA
Volume :
54
Issue :
10
fYear :
2009
Firstpage :
2410
Lastpage :
2416
Abstract :
Robust stability of linear time-invariant systems with respect to structured uncertainties is considered. The small gain condition is sufficient to prove robust stability and scalings are typically used to reduce the conservatism of this condition. It is known that if the small gain condition is satisfied with constant scalings then there is a single quadratic Lyapunov function which proves robust stability with respect to all allowable time-varying perturbations. In this technical note we show that if the small gain condition is satisfied with frequency-varying scalings then an explicit parameter dependent Lyapunov function can be constructed to prove robust stability with respect to constant uncertainties. This Lyapunov function has a rational quadratic dependence on the uncertainties.
Keywords :
Lyapunov methods; continuous time systems; linear systems; nonlinear systems; perturbation techniques; robust control; time-varying systems; uncertain systems; PDLF; constant uncertainty; frequency-varying scaling; linear system; linear time-invariant system; nonlinear system; parameter-dependent Lyapunov function; quadratic Lyapunov function; robust stability; time-varying perturbation; Frequency domain analysis; Linear systems; Lyapunov method; Robust stability; Robustness; Sufficient conditions; Testing; Uncertain systems; Uncertainty; Upper bound; Parameter-dependent Lyapunov function (PDLF);
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2009.2029294
Filename :
5256265
Link To Document :
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