Synchronization of Delayed Chaotic Neural Networks by LMI

Author

Wu, Ranchao ; Zhang, Weiwei

Author_Institution

Sch. of Math. Sci., Anhui Univ., Hefei

Volume

4

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

55

Lastpage

59

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FGCNS.2008.117

Filename

4813606