Title :
Synchronization and Parameter Identification for a Class of Chaotic Neural Networks with Time-Varying Delays via Adaptive Control
Author :
Wang, Zhongsheng ; Liao, Wudai ; Yan, Nin
Author_Institution :
Coll. of Autom., Guangdong Polytech. Normal Univ., Guangzhou
Abstract :
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.
Keywords :
adaptive control; delays; neurocontrollers; parameter estimation; Hopfield neural networks; adaptive control; chaotic neural networks; parameter identification; synchronization; time-varying delays; Adaptive control; Chaos; Chaotic communication; Computer networks; Delay effects; Educational institutions; Hopfield neural networks; Neural networks; Neurons; Parameter estimation; Adaptive Control; Chaotic Neural Networks; Parameter Identification; Synchronization; Time-Varying Delays;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.31
