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Publication Type : Journal Article
Publisher : Neural Computing and Applications
Source : Neural Computing and Applications, Volume 22, Number 1, p.55–73 (2013)
Campus : Coimbatore
School : School of Engineering
Department : Mathematics
Verified : Yes
Year : 2013
Abstract : This paper considers existence, uniqueness, and the global asymptotic stability for a class of High-order Hopfield neural networks with mixed delays and impulses. The mixed delays include constant delay in the leakage term (i.e., ``leakage delay'') and time-varying delays. Based on the Lyapunov stability theory, together with the linear matrix inequality approach and free-weighting matrix method, some less conservative delay-dependent sufficient conditions are presented for the global asymptotic stability of the equilibrium point of the considered neural networks. These conditions are expressed in terms of LMI and can be easily checked by MATLAB LMI toolbox. In addition, two numerical examples are given to illustrate the applicability of the result.
Cite this Research Publication : R. Rakkiyappan, Pradeep, C., Dr. Vinodkumar A., and Rihan, F. A., “Dynamic Analysis for High-order Hopfield Neural Networks with Leakage Delay and Impulsive Effects”, Neural Computing and Applications, vol. 22, pp. 55–73, 2013.