Improved asymptotic stability criteria for neural networks with interval time-varying delay

Authors:
Junkang Tian;Xiangbing Zhou
Affiliations:
School of Sciences, Southwest Petroleum University, Chengdu, Sichuan 610500, China;Department of Computer Science, Aba Teachers College, Chengdu, Sichuan 611741, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with time-varying interval delay is investigated. A new class of Lyapunov functional is constructed to derive some novel delay-dependent stability criteria. The obtained criterion is less conservative because free-weighting matrix method and the technique of dealing with some integral terms are considered. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.