Anti-synchronization control of unknown chaotic neural networks with delay and noise perturbation

Author

Lezhi Wang ; Wuneng Zhou ; Li Liu

Author_Institution

Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

325

Lastpage

328

Abstract

In this paper, anti-synchronization control of unknown chaotic neural networks with delay and noise perturbation has been considered. By employing the Lyapunov-Krasovskii functional method to design a controller, a series of theory and corollaries are established that guarantee the exponential stability of a pair of master and slave unknown chaotic neural networks system with stochastic noise. In the end, simulation result is shown to verify the effectiveness of built theory and corollaries in this paper.

Keywords

Lyapunov methods; asymptotic stability; chaos; control system synthesis; delays; neurocontrollers; perturbation techniques; Lyapunov-Krasovskii functional method; antisynchronization control; controller design; delay; exponential stability; perturbation; unknown chaotic neural networks; Chaotic communication; Delay; Neural networks; Noise; Stability analysis; Synchronization; anti-synchronization; noise perturbation; time delay; unknown chaotic neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022094

Filename

6022094