DocumentCode
3120445
Title
An LMI characterization of polynomial parameter-dependent Lyapunov functions for robust stability
Author
Oliveira, R.C.L.F. ; Leite, V.J.S. ; de Oliveira, M.C. ; Peres, P.L.D.
Author_Institution
School of Electrical and Computer Engineering, University of Campinas, CP 6101, 13081-970, Campinas, SP, Brazil ricfow@dt.fee.unicamp.br
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
5024
Lastpage
5029
Abstract
This paper investigates the robust stability of continuous-time, time-invariant linear uncertain systems in polytopic domains. Robust stability is checked by constructing a quadratic parameter-dependent Lyapunov function. The matrix associated with this quadratic Lyapunov function is a polynomial function of the uncertain parameters, expressed as a particular polynomial matrix involving powers of the dynamic matrix of the system and one symmetric matrix to be determined. The degree of this polynomial matrix function is arbitrary. Finsler’s Lemma is used to lift the obtained stability conditions into a larger space in which sufficient stability tests can be developed in the form of Linear Matrix Inequalities (LMIs), which must be verified at the vertices of the uncertainty polytopic domain. Examples illustrate the method, which is compared with similar results in the literature by means of random numerical experiments.
Keywords
Control systems; Linear matrix inequalities; Lyapunov method; Polynomials; Robust stability; Stability analysis; Symmetric matrices; Testing; Uncertain systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1582958
Filename
1582958
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