Artículos de revistas
LMI conditions for robust stability analysis based on polynomially parameter-dependent Lyapunov functions
Registro en:
Systems & Control Letters. Elsevier Science Bv, v. 55, n. 1, n. 52, n. 61, 2006.
0167-6911
WOS:000234148000008
10.1016/j.sysconle.2005.05.003
Autor
Oliveira, RCLF
Peres, PLD
Institución
Resumen
The robust stability of uncertain linear systems in polytopic domains is investigated in this paper. The main contribution is to provide a systematic procedure for generating sufficient robust stability linear matrix inequality conditions based on homogeneous polynomially parameter-dependent Lyapunov matrix functions of arbitrary degree on the uncertain parameters. The conditions exploit the positivity of the uncertain parameters, being constructed in such a way that: as the degree of the polynomial increases, the number of linear matrix inequalities and free variables increases and the test becomes less conservative; if a feasible solution exists for a certain degree, the conditions will also be verified for larger degrees. For any given degree, the feasibility of a set of linear matrix inequalities defined at the vertices of the polytope assures the robust stability. Both continuous and discrete-time uncertain systems are addressed, as illustrated by numerical examples. (c) 2005 Elsevier B.V. All rights reserved. 55 1 52 61