Artículos de revistas
Convergent LMI relaxations for robust analysis of uncertain linear systems using lifted polynomial parameter-dependent Lyapunov functions
Systems & Control Letters. Elsevier Science Bv, v. 57, n. 8, n. 680, n. 689, 2008.
de Oliveira, MC
This paper investigates the problems of checking robust stability and evaluating robust H-2 performance of uncertain continuous-time linear systems with time-invariant parameters lying in polytopic domains. The novelty is the ability to check robust stability by constructing a particular parameter-dependent Lyapunov function which is a polynomial function of the uncertain system matrices, as opposed to a general polynomial function of the uncertain parameter. The degree of the polynomial is tied to a certain integer kappa. The existence of such Lyapunov function can be proved by solving parameter-dependent Linear Matrix Inequalities (LMIs), which are guaranteed to be solvable for a sufficiently large yet finite value of kappa whenever the system is robustly stable. Extensions to guaranteed H-2 cost computation are also provided. Numerical aspects concerning the programming and the evaluations of the proposed tests are discussed and illustrated by examples. (C) 2008 Elsevier B.V. All rights reserved.578680689