H? filtering of networked systems with time-varying sampling rates

Authors

Chaouki T. Abdallah
Renato A. Borges
Ricardo C.L.F. Oliveira
Pedro L.D. Peres

Document Type

Article

Publication Date

6-10-2009

Abstract

In this paper, the problem of robust filter design for networked systems with time-varying sampling rate is investigated. The design conditions are obtained by using the Lyapunov theory and the Finsler's Lemma. A robust filter, that minimizes an upper bound to the Hinfin performance of the estimation error, is obtained as the solution of an optimization problem. A path-dependent Lyapunov function is used in order to obtain less conservative design conditions. Robust filters based on affine parameter-dependent Lyapunov functions can be obtained as a particular case of the proposed method. Numerical examples illustrate the results.

Publisher

IEEE

Publication Title

American Control Conference

ISSN

0743-1619978-1-4244-4524-0978-1-4244-4523-3

First Page

3372

Last Page

3377

DOI

10.1109/ACC.2009.5159948

Language (ISO)

English

Sponsorship

Permitted by IEEE: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5159948

Recommended Citation

Abdallah, Chaouki T.; Renato A. Borges; Ricardo C.L.F. Oliveira; and Pedro L.D. Peres. "H? filtering of networked systems with time-varying sampling rates." American Control Conference (2009): 3372-3377. doi:10.1109/ACC.2009.5159948.