DocumentCode
1040438
Title
Nonquadratic Lyapunov functions for robust stability analysis of linear uncertain systems
Author
Zelentsovsky, A.L.
Author_Institution
Inst. for Syst. Studies, Moscow, Russia
Volume
39
Issue
1
fYear
1994
fDate
1/1/1994 12:00:00 AM
Firstpage
135
Lastpage
138
Abstract
In this note, we derive conditions of existence of a homogeneous polynomial Lyapunov function of an arbitrary even degree establishing global asymptotic stability of linear system with box-bounded uncertainty. Verification of these conditions is reduced to solving a convex minimization problem. We produce numerical examples that demonstrate significant improvement in estimates of admissible uncertainty bounds compared with estimates obtained via the most commonly used quadratic Lyapunov functions
Keywords
Lyapunov methods; control system analysis; convex programming; linear systems; minimisation; stability; admissible uncertainty bounds; box-bounded uncertainty; convex minimization; existence; global asymptotic stability; homogeneous polynomial Lyapunov function; linear uncertain systems; nonquadratic Lyapunov functions; robust stability analysis; Equations; Linear systems; Lyapunov method; Polynomials; Robust stability; Stability analysis; Sufficient conditions; Uncertain systems; Uncertainty; Vectors;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.273350
Filename
273350
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