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 | 10.1109/TSMCB.2011.2157140 |
| Official URL | http://dx.doi.org/10.1109/TSMCB.2011.2157140 |
| Subjects | Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > 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 | 183 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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