4.4 Article

FINITE-TIME SYNCHRONIZATION OF COMPETITIVE NEURAL NETWORKS WITH MIXED DELAYS

期刊

出版社

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/dcdsb.2016115

关键词

Finite-time; synchronization; competitive neural networks; mixed delays; control

资金

  1. National Natural Science Foundation of China (NSFC) [61263020, 61673078]

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In this paper, finite-time synchronization of competitive neural networks (CNNs) with bounded time-varying discrete and distributed delays (mixed delays) is investigated. A simple controller is added to response (slave) system such that it can be synchronized with the driving (master) CNN in a setting time. By introducing a suitable Lyapunov-Krasovskii's functional and utilizing some inequalities, several sufficient conditions are obtained to ensure the control object. Moreover, the setting time is explicitly given. Different from previous results, the setting is related to both the initial value of error system and the time delays. Finally, numerical examples are given to show the effectiveness of the theoretical results.

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