Dissipativity and passivity analysis for discrete-time complex-valued neural networks with time-varying delay

被引：9

作者：

Nagamani, G. ^{[1
]}

Ramasamy, S. ^{[1
]}

机构：

[1] Deemed Univ, Gandhigram Rural Inst, Dept Math, Gandhigram 624302, Tamil Nadu, India

来源：

COGENT MATHEMATICS | 2015年 / 2卷

关键词：

complex-valued neural networks; dissipativity; Lyapunov-Krasovskii functional; Linear matrix inequalities (LMIs); time-varying delay;

D O I：

10.1080/23311835.2015.1048580

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we consider the problem of dissipativity and passivity analysis for complex-valued discrete-time neural networks with time-varying delays. The neural network under consideration is subject to time-varying. Based on an appropriate Lyapunov-Krasovskii functional and by using the latest free-weighting matrix method, a sufficient condition is established to ensure that the neural networks under consideration is strictly (Q,S,T)-dissipative. The derived conditions are presented in terms of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed results.

引用

页数：14

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