Tracking Control and Synchronization with Diverse Structure of the Quantum Cellular Neural Network

Author

Wang, Sen ; Cai, Li ; Wu, Gang

Author_Institution

Air Force Eng. Univ. of CPLA, Xian

fYear

2007

fDate

May 30 2007-June 1 2007

Firstpage

2210

Lastpage

2213

Abstract

Tracking control of a hyper-chaotic system called three-cell coupled quantum cellular neural network is studied. A tracking control method is proposed for this hyper-chaotic system and it´s proved by means of Lyapunov function that this method can make the system approach to any three desired smooth orbits at an exponent rate. The synchronization with Rossler´s chaotic system is also presented. Numerical simulations are given to illustrate the effectiveness of the proposed method.

Keywords

Lyapunov methods; cellular neural nets; chaos; quantum computing; synchronisation; Lyapunov function; hyper-chaotic system; quantum cellular neural network; synchronization; tracking control; Automatic control; Cellular neural networks; Chaotic communication; Communication system control; Control systems; Force control; Lyapunov method; Medical control systems; Orbits; Quantum cellular automata; RÃ¶ssler´s chaotic system; quantum cellular neural network; synchronization; tracking control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2007. ICCA 2007. IEEE International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-0818-4

Electronic_ISBN

978-1-4244-0818-4

Type

conf

DOI

10.1109/ICCA.2007.4376753

Filename

4376753