Title :
Robust stability of polytopic systems via affine parameter-dependent Lyapunov functions
Author :
Yang, Guang-hong ; Dong, Jiuxiang
Abstract :
This paper studies robust stability of linear systems with polytopic uncertainty. New necessary and sufficient conditions for the existence of an affine parameter-dependent Lyapunov function assuring the Hurwitz or Schur stability of a polytopic system, which are composed of a family of linear matrix inequality conditions of increasing precision. At each step, a set of linear matrix inequalities provides sufficient conditions for the existence of the affine parameter-dependent Lyapunov function, and necessity is asymptotically attained. Compared with the existing results in the literature, it is shown that the new stability conditions provide less conservative tests at each step. A numerical example is given to illustrate the effectiveness of the new results.
Keywords :
Lyapunov matrix equations; asymptotic stability; linear matrix inequalities; linear systems; nonlinear systems; robust control; Hurwitz stability; Schur stability; affine parameter dependent Lyapunov functions; linear matrix inequality; linear systems; polytopic system; polytopic uncertainty; robust stability; Control theory; Linear matrix inequalities; Linear systems; Lyapunov method; Polynomials; Robust stability; Stability analysis; Sufficient conditions; Testing; Uncertainty; Hurwitz stability; Linear systems; Schur stability; linear matrix inequalities (LMIs); parameter-dependent Lyapunov functions; polytopic uncertainty;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400262