On the synchronization of neural networks containing time-varying delays and sector nonlinearity

Jun Juh Yan, Jui Sheng Lin, Meei Ling Hung, Teh Lu Liao

研究成果: Article同行評審

28 引文 斯高帕斯(Scopus)

摘要

We present a systematic design procedure for synchronization of neural networks subject to time-varying delays and sector nonlinearity in the control input. Based on the drive-response concept and the Lyapunov stability theorem, a memoryless decentralized control law is proposed which guarantees exponential synchronization even when input nonlinearity is present. The supplementary requirement that the time-derivative of time-varying delays must be smaller than one is released for the proposed control scheme. A four-dimensional Hopfield neural network with time-varying delays is presented as the illustrative example to demonstrate the effectiveness of the proposed synchronization scheme.

原文English
頁(從 - 到)70-77
頁數8
期刊Physics Letters, Section A: General, Atomic and Solid State Physics
361
發行號1-2
DOIs
出版狀態Published - 2007 一月 22

All Science Journal Classification (ASJC) codes

  • 物理與天文學 (全部)

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