Title :
Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method
Author :
Wang, Zhanshan ; Zhang, Rui ; Jing, Yuanwei
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
This paper aims to present an adaptive control scheme for the global asymptotic synchronization for a class of chaotic neural networks. A new sufficient condition is derived for the global synchronization of a class of chaotic neural networks with different structure and interconnection parameters. The proposed control method is easy to be implemented. Numerical simulation shows the effectiveness of the obtained result.
Keywords :
Hopfield neural nets; adaptive control; cellular neural nets; linear matrix inequalities; neurocontrollers; nonlinear control systems; synchronisation; Hopfield neural network; LMI; adaptive control scheme; adaptive synchronization method; cellular neural network; chaotic neural network; global asymptotic synchronization; interconnection parameter; linear matrix inequality; Adaptive control; Adaptive systems; Chaos; Chaotic communication; Communication system control; Control systems; Linear matrix inequalities; Neural networks; Neurons; Nonlinear control systems; adaptive synchronization; chaotic system; linear matrix inequality; neural networks;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192743
