Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1866457 | Physics Letters A | 2007 | 8 Pages |
Abstract
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.
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Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Jun-Juh Yan, Jui-Sheng Lin, Meei-Ling Hung, Teh-Lu Liao,