Title :
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
fDate :
May 30 2007-June 1 2007
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; Rössler´s chaotic system; quantum cellular neural network; synchronization; tracking control;
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
DOI :
10.1109/ICCA.2007.4376753
