JOURNAL ARTICLE

ExponentialHfiltering for switched linear systems with interval time‐varying delay

Dong WangWei WangPeng Shi

Year: 2008 Journal:   International Journal of Robust and Nonlinear Control Vol: 19 (5)Pages: 532-551   Publisher: Wiley

Abstract

Abstract This paper deals with the problem of exponential H ∞ filtering for a class of continuous‐time switched linear system with interval time‐varying delay. The time delay under consideration includes two cases: one is that the time delay is differentiable and bounded with a constant delay‐derivative bound, whereas the other is that the time delay is continuous and bounded. Switched linear filters are designed to ensure that the filtering error systems under switching signal with average dwell time are exponentially stable with a prescribed H ∞ noise attenuation level. Based on the free‐weighting matrix approach and the average dwell technology, delay‐dependent sufficient conditions for the existence of such a filter are derived and formulated in terms of linear matrix inequalities (LMIs). By solving that corresponding LMIs, the desired filter parameterized matrices and the minimal average dwell time are obtained. Finally, two numerical examples are presented to demonstrate the effectiveness of the developed results. Copyright © 2008 John Wiley & Sons, Ltd.

Keywords:
Dwell time Control theory (sociology) Parameterized complexity Mathematics Filter (signal processing) Bounded function Weighting Constant (computer programming) Filtering problem Interval (graph theory) Differentiable function Matrix (chemical analysis) Linear system Filter design Computer science Algorithm Mathematical analysis Combinatorics Control (management)

Metrics

142
Cited By
26.03
FWCI (Field Weighted Citation Impact)
31
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications

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