Delay-dependent stability analysis for switched neural networks with time-varying delay

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Wu, Zheng-Guang, Shi, Peng, Su, Hongye and Chu, Jian (2011) Delay-dependent stability analysis for switched neural networks with time-varying delay. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 41 (6). pp. 1522-1530. ISSN 1083-4419

Abstract

In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/10364
DOI https://doi.org/10.1109/TSMCB.2011.2157140
Official URL http://dx.doi.org/10.1109/TSMCB.2011.2157140
Subjects Current > FOR Classification > 0802 Computation Theory and Mathematics
Current > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Keywords ResPubID24867, LMI, average dwell time method, delay-dependent stability analysis, global exponential stability, linear matrix inequality, switched neural networks, time-varying delay
Citations in Scopus 161 - View on Scopus
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