Lag Synchronization of Delayed Chaotic Systems Using Neural Network-Based Sliding-Mode Control

Author

Mei, Rong ; Wu, Qing-xian ; Jiang, Chang-sheng

Author_Institution

Criminal Investig. Dept., Nanjing Forest Police Coll., Nanjing, China

fYear

2010

Firstpage

3

Lastpage

7

Abstract

In this paper, the sliding-mode lag synchronization control scheme is proposed based on the neural network to synchronize two different delayed chaotic systems. An integral delayed sliding surface is presented to design the sliding mode control. The lag synchronization controller is achieved by combining the RBF (radial basis function) neural network with sliding-mode control. Numerical simulations are presented to demonstrate the effectiveness of the proposed sliding-mode lag synchronization control scheme.

Keywords

control system synthesis; delays; neurocontrollers; nonlinear control systems; numerical analysis; radial basis function networks; synchronisation; variable structure systems; RBF neural network; delayed chaotic system; integral delayed sliding surface; lag synchronization; numerical simulation; radial basis function; sliding mode control design; Artificial neural networks; Chaotic communication; Fractals; Sliding mode control; Solitons; Synchronization; delayed chaotic systems; neural network; sliding-mode control; synchronization control;

fLanguage

English

Publisher

ieee

Conference_Titel

Chaos-Fractals Theories and Applications (IWCFTA), 2010 International Workshop on

Conference_Location

Kunming, Yunnan

Print_ISBN

978-1-4244-8815-5

Type

conf

DOI

10.1109/IWCFTA.2010.95

Filename

5671136