Synchronizing Uncertain Chaotic Systems with Neural Network Compensation

Author

Sun, Chun-Xiang ; Kong, Hai-Tao ; Liu, Heng

Author_Institution

Sch. of Math. & Comput. Sci., Huainan Normal Univ., Huainan, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1972

Lastpage

1975

Abstract

This paper investigates the control problem of synchronize uncertain nonlinear systems by means of adaptive neural network control. A robust adaptive observer based response system is constructed to synchronize a given chaotic system with uncertainties. The underlying parameter adaptation design as well as stability analysis are carried out using Lyapunov based approach. Numerical simulations are done to show the effectiveness of the proposed method.

Keywords

Lyapunov methods; adaptive control; chaos; compensation; neurocontrollers; nonlinear control systems; numerical analysis; observers; robust control; synchronisation; uncertain systems; Lyapunov based approach; adaptive neural network control; control problem; neural network compensation; numerical simulations; parameter adaptation design; robust adaptive observer based response system; stability analysis; uncertain chaotic system synchronization; uncertain nonlinear system synchronization; Adaptive systems; Biological neural networks; Chaotic communication; Observers; Synchronization; chaotic systems; neural network; strictly positive real;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.492

Filename

6394810