| Texto completo | |
| Autor(es): |
Lacerda, Marcio J.
[1]
;
Tognetti, Eduardo S.
[2]
;
Oliveira, Ricardo C. L. F.
[1]
;
Peres, Pedro L. D.
[1]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Univ Estadual Campinas, UNICAMP, Sch Elect & Comp Engn, Campinas, SP - Brazil
[2] Univ Brasilia, Dept Elect Engn, Brasilia, DF - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE; v. 47, n. 5, p. 1042-1053, APR 3 2016. |
| Citações Web of Science: | 18 |
| Resumo | |
This paper presents a general framework to cope with full-order H-infinity linear parameter-varying (LPV) filter design subject to inexactly measured parameters. The main novelty is the ability of handling additive and multiplicative uncertainties in the measurements, for both continuous and discrete-time LPV systems, in a unified approach. By conveniently modelling scheduling parameters and uncertainties affecting the measurements, the H-infinity filter design problem can be expressed in terms of robust matrix inequalities that become linear when two scalar parameters are fixed. Therefore, the proposed conditions can be efficiently solved through linear matrix inequality relaxations based on polynomial solutions. Numerical examples are presented to illustrate the improved efficiency of the proposed approach when compared to other methods and, more important, its capability to deal with scenarios where the available strategies in the literature cannot be used. (AU) | |
| Processo FAPESP: | 10/10118-0 - Filtragem de sistemas dinâmicos com parâmetros variantes no tempo por meio de funções de Lyapunov polinomiais |
| Beneficiário: | Márcio Júnior Lacerda |
| Linha de fomento: | Bolsas no Brasil - Doutorado |