Robust synchronization of a class of uncertain chaotic neural networks

Author

Sheng, Li ; Yang, Huizhong

Author_Institution

Sch. of Commun. & Control Eng., Jiangnan Univ., Wuxi

fYear

2008

fDate

25-27 June 2008

Firstpage

4614

Lastpage

4618

Abstract

The robust synchronization of a class of uncertain chaotic neural networks with parameters perturbation and external disturbances is investigated in this paper. The time-delay feedback control term is introduced in the synchronization controller to achieve the robust synchronization of the drive-response structure of neural networks. Based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some sufficient conditions are established for the robust synchronization of the uncertain neural networks. An illustrative example is provided to show the effectiveness and feasibility of the proposed method and results.

Keywords

Lyapunov methods; chaos; delays; feedback; linear matrix inequalities; neurocontrollers; nonlinear control systems; perturbation techniques; robust control; synchronisation; uncertain systems; Lyapunov stability theory; drive-response structure; external disturbance; linear matrix inequality; parameter perturbation; robust synchronization controller; time-delay feedback control term; uncertain chaotic neural network; Chaos; Chaotic communication; Communication system control; Feedback control; Lyapunov method; Neural networks; Noise robustness; Nonlinear control systems; Robust control; Sliding mode control; Chaotic neural networks; Linear matrix inequality; Lyapunov function; Robust synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594530

Filename

4594530