Synchronization of Time-delayed Systems Via Learning Control

Author

Yan, Rui ; Er, Meng Joo

Author_Institution

Intelligent Syst. Center, Nanyang Technol. Univ., Singapore

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

5

Abstract

In this paper, a learning control approach is applied to the synchronization of two uncertain chaotic systems which contain nonlinear uncertainties with unknown time delays. This learning approach also deals with unknown time-varying parameters having distinct periods in the master and slave systems. Using the Lyapunov-Krasovskii functional and incorporating periodic parametric learning mechanism, global stability and asymptotic synchronization between the master and the slave systems are obtained. Simulation studies on representative classes of chaotic systems demonstrate the effectiveness of the proposed approach

Keywords

Lyapunov methods; delay systems; learning systems; nonlinear control systems; periodic control; stability; synchronisation; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional; asymptotic synchronization; global stability; learning control; nonlinear uncertainties; periodic parametric learning; time-delayed systems; time-varying parameters; uncertain chaotic systems; Adaptive control; Chaotic communication; Control systems; Delay effects; Master-slave; Nonlinear control systems; Robustness; Stability; Time varying systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345188

Filename

4150098