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Type: Journal article
Title: Observer design for switched recurrent neural networks: an average dwell time approach
Author: Lian, J.
Feng, Z.
Shi, P.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2011; 22(10):1547-1556
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2011
ISSN: 1045-9227
Statement of
Jie Lian, Zhi Feng, and Peng Shi
Abstract: This paper is concerned with the problem of observer design for switched recurrent neural networks with time-varying delay. The attention is focused on designing the full-order observers that guarantee the global exponential stability of the error dynamic system. Based on the average dwell time approach and the free-weighting matrix technique, delay-dependent sufficient conditions are developed for the solvability of such problem and formulated as linear matrix inequalities. The error-state decay estimate is also given. Then, the stability analysis problem for the switched recurrent neural networks can be covered as a special case of our results. Finally, four illustrative examples are provided to demonstrate the effectiveness and the superiority of the proposed methods.
Keywords: Average dwell time method
exponential stability
observer design
switched neural networks
time-varying delay
Rights: © 2011 IEEE
DOI: 10.1109/TNN.2011.2162111
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Electrical and Electronic Engineering publications

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