Title :
Synchronization of Delayed Chaotic Neural Networks by LMI
Author :
Wu, Ranchao ; Zhang, Weiwei
Author_Institution :
Sch. of Math. Sci., Anhui Univ., Hefei
Abstract :
In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system and the response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation shows the effectiveness of this nonlinear control scheme.
Keywords :
Lyapunov methods; control system synthesis; delays; feedback; linear matrix inequalities; neurocontrollers; nonlinear control systems; stability; synchronisation; time-varying systems; LMI; Lyapunov stability theory; delayed chaotic neural network synchronization; linear matrix inequality; nonlinear feedback control design; time-varying delay; Cellular neural networks; Chaos; Chaotic communication; Conferences; Delay effects; Feedback control; Linear matrix inequalities; Lyapunov method; Neural networks; Numerical simulation;
Conference_Titel :
Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-3430-5
Electronic_ISBN :
978-0-7695-3546-3
DOI :
10.1109/FGCNS.2008.117
