A new global robust stability criteria for uncertain neural networks with fast time-varying delays

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Qiu, Jiqing, Zhang, Jinhui, Wang, Jianfei, Xia, Yuanqing and Shi, Peng (2008) A new global robust stability criteria for uncertain neural networks with fast time-varying delays. Chaos, Solitons and Fractals, 37 (2). pp. 360-368. ISSN 0960-0779

Abstract

This paper deals with the problem of robust stability for uncertain neural networks with time-varying delays. The system possesses time-varying and norm-bounded uncertainties. The time-varying delay function in this paper is not required to be either continuously differentiable, or its derivative less than one. Based on Lyapunov–Krasovskii functional approach, new delay-dependent and delay-derivative-dependent stability criteria are presented, which are given in terms of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness and less conservativeness of the developed techniques

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Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/3900
DOI	10.1016/j.chaos.2007.10.040
Official URL	http://www.sciencedirect.com/science/article/pii/S...
Subjects	Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM) Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords	ResPubID18921, robust stability, uncertain neural networks, time-varying delays, Lyapunov–Krasovskii system, linear matrix inequalities (LMIs)
Citations in Scopus	39 - View on Scopus
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