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Synchronization and Parameter Identification for a Class of Chaotic Neural Networks with Time-Varying Delays via Adaptive Control

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3 Author(s)
Zhongsheng Wang ; Coll. of Autom., Guangdong Polytech. Normal Univ., Guangzhou ; Wudai Liao ; Nin Yan

The paper aims to present a synchronization and parameter identification scheme for a class of time-varying neural networks. By combining the adaptive control method and the Razumikhin-type Theorem, a novel delay-independent and decentralized linear-feedback control with appropriate updated law is designed to achieve the synchronization and parameter identification .The updating law of parameters can be directly constructed. Hopfield neural networks with time-varying delays are given to show the effectiveness of the presented synchronization scheme.

Published in:

Natural Computation, 2008. ICNC '08. Fourth International Conference on  (Volume:2 )

Date of Conference:

18-20 Oct. 2008