Title :
Synchronization with diverse structure of the Josephson-Circuits-coupled Cellular Neural Network
Author :
Wang, Sen ; Kang, Qiang ; Cai, Li
Author_Institution :
Sci. Inst., Air Force Eng. Univ., Xian
Abstract :
A nonlinear feedback controller is designed to make the first two state of a chaotic system called Josephson-circuits-coupled quantum cellular neural network track an arbitrary two-dimensional smooth reference signal. It is proved by means of Lyapunov function that this method can make the system approach to any two desired smooth orbits at an exponent rate. The synchronizations with Duffingpsilas chaotic system and Rosslerpsilas chaotic system are also presented. Numerical simulations are made to verify the results.
Keywords :
Lyapunov methods; cellular neural nets; chaos; control system synthesis; feedback; nonlinear control systems; superconducting junction devices; Duffing chaotic system; Josephson-circuits-coupled quantum cellular neural network; Lyapunov function; Rossler chaotic system; diverse structure; nonlinear feedback controller design; two-dimensional smooth reference signal; Adaptive control; Cellular networks; Cellular neural networks; Chaos; Design automation; Design engineering; Electronic mail; Force feedback; Intelligent control; Signal design; Josephson junction; quantum cellular neural network; synchronization; tracking control;
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
DOI :
10.1109/WCICA.2008.4594326
