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Stability and Synchronization for Discrete-Time Complex-Valued Neural Networks with Time-Varying Delays

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Indexed by:期刊论文

Date of Publication:2014-04-08

Journal:PLOS ONE

Included Journals:SCIE、PubMed、Scopus

Volume:9

Issue:4

Page Number:e93838

ISSN No.:1932-6203

Abstract:In this paper, the synchronization problem for a class of discrete-time complex-valued neural networks with time-varying delays is investigated. Compared with the previous work, the time delay and parameters are assumed to be time-varying. By separating the real part and imaginary part, the discrete-time model of complex-valued neural networks is derived. Moreover, by using the complex-valued Lyapunov-Krasovskii functional method and linear matrix inequality as tools, sufficient conditions of the synchronization stability are obtained. In numerical simulation, examples are presented to show the effectiveness of our method.

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