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Observer design for switched recurrent neural networks: An average dwell time approach

Lian, Jie, Feng, Zhi and Shi, Peng (2011) Observer design for switched recurrent neural networks: An average dwell time approach. IEEE Transactions on Neural Networks, 22 (10). pp. 1547-1556. ISSN 1045-9227

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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 fullorder 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, delaydependent 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.

Item Type: Article
Uncontrolled Keywords: ResPubID24784, Average dwell time method, exponential stability, observer design, switched neural networks, time-varying delay
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0801 Artificial Intelligence and Image Processing
SEO Classification > 970118 Expanding Knowledge in Law and Legal Studies
Depositing User: VUIR
Date Deposited: 05 Dec 2012 04:42
Last Modified: 05 Dec 2012 04:42
URI: http://vuir.vu.edu.au/id/eprint/10320
DOI: https://doi.org/10.1109/TNN.2011.2162111
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Citations in Scopus: 86 - View on Scopus

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