| Full text | |
| Author(s): |
Lacerda, Marcio J.
[1]
;
Tognetti, Eduardo S.
[2]
;
Oliveira, Ricardo C. L. F.
[1]
;
Peres, Pedro L. D.
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Estadual Campinas, UNICAMP, Sch Elect & Comp Engn, Campinas, SP - Brazil
[2] Univ Brasilia, Dept Elect Engn, Brasilia, DF - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE; v. 47, n. 5, p. 1042-1053, APR 3 2016. |
| Web of Science Citations: | 18 |
| Abstract | |
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) | |
| FAPESP's process: | 10/10118-0 - Filter design for dynamic systems with time-varying parameters by means of polynomial Lyapunov functions |
| Grantee: | Márcio Júnior Lacerda |
| Support type: | Scholarships in Brazil - Doctorate |