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Adaptive Synchronization of an Array of Time-Varying Coupled Delayed Neural Networks |
WANG Jian-An, LIU He-Ping |
School of Information Engineering, University of Science and Technology Beijing, Beijing 100083 |
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Cite this article: |
WANG Jian-An, LIU He-Ping 2010 Chin. Phys. Lett. 27 030505 |
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Abstract Synchronization in an array of time-varying coupled delayed neural networks is investigated. We assume that the entries of time-varying coupling configuration matrix and inner-coupling matrix of the model are all bounded. By combining linear feedback with an adaptive control approach, some simple controllers are proposed to ensure the states of such coupled networks globally asymptotically synchronize to a desired synchronous solution. Simulation results are provided to demonstrate the effectiveness of the proposed approach.
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Keywords:
05.45.Xt
05.45.Gg
89.75.Hc
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Received: 01 January 1900
Published: 09 March 2010
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PACS: |
05.45.Xt
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(Synchronization; coupled oscillators)
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05.45.Gg
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(Control of chaos, applications of chaos)
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89.75.Hc
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(Networks and genealogical trees)
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Abstract
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