Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6959529 | Signal Processing | 2015 | 12 Pages |
Abstract
The problem of robust energy-to-peak filtering for uncertain discrete-time systems is revisited in this paper. The considered uncertain parameters of system matrices are supposed to reside in a polytope and the attention is focused on the design of robust full- and reduced-order filters guaranteeing a prescribed energy-to-peak noise-attenuation level for all admissible uncertainties. By making full use of the Finsler lemma associated with Projection lemma, two further improved energy-to-peak filtering methods are obtained, where more auxiliary slack variables are introduced to provide extra free degrees. Then, the filters can be readily designed by solving a set of less conservative linear matrix inequalities (LMIs). Finally, two examples are given to illustrate the effectiveness of the proposed approaches.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jian Feng, Kezhen Han,