Synchronization control on a class of delayed chaotic neural networks

Synchronization control of delayed chaotic neural networks with uncertain parameters is considered in this paper. To fulfill synchronization control and parameter identification of two delayed chaotic neural networks with same structure but uncertain parameters, a novel controller is invented based...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 46; no. 20; pp. 508 - 511
Main Authors Shao, Keyong, Yu, Haiyu, Jiang, Weiqi
Format Journal Article
LanguageEnglish
Published 2013
Subjects
Bounded parameters
Chaotic neural networks
Delayed
Parameter identification
Synchronization
Bounded parameters
Delayed
Synchronization
Parameter identification
Chaotic neural networks
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Summary:Synchronization control of delayed chaotic neural networks with uncertain parameters is considered in this paper. To fulfill synchronization control and parameter identification of two delayed chaotic neural networks with same structure but uncertain parameters, a novel controller is invented based on lyapunov stability theory, and used by adding compensator to it for parameters' uncertainty compensation when system parameter uncertainty satisfy a certain boundary conditions. The mentioned controller has robustness and could be easily carried out. Simulation results are given to verify the effectiveness of the proposed method.
ISSN:1474-6670
DOI:10.3182/20130902-3-CN-3020.00088