Adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters

Author

Zhang, Dong

Author_Institution

Sch. of Aerosp. Eng. & Appl. Mech., Tongji Univ., Shanghai, China

fYear

2010

fDate

16-18 April 2010

Firstpage

374

Lastpage

377

Abstract

In this letter, the problem of adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters is studied. Based on Lyapunov stability theory and the adaptive control theory, two different kinds of adaptive controllers are presented for different unknown parameters. Numerical simulations demonstrate the analytical results and show the efficiency of the both approaches.

Keywords

Lyapunov methods; adaptive control; delay systems; neurocontrollers; nonlinear control systems; numerical analysis; synchronisation; uncertain systems; Lyapunov stability theory; adaptive control theory; adaptive synchronization; chaotic time-delayed neural network; numerical simulation; uncertain parameter; Adaptive control; Chaos; Chaotic communication; Delay effects; Differential equations; Evolution (biology); Lyapunov method; Neural networks; Neurons; Programmable control; adaptive control; chaos synchronization; neural networks; time delay;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477843

Filename

5477843