The Synchronization Control of Cellular Neural Network with Nonlinear Observer
With the circuit model of cellular neural network, the dynamic characteristics and synchronization control of a hyperchaotic cellular neural network are discussed in this paper. Through choosing proper system parameters, the hyperchaotic attractor of the 5th-order cellular neural network is presented. A new design method of nonlinear observer is proposed with the Lyapunov theory. With the help of the nonlinear observer, the cellular neural network can be synchronized with dierent initial conditions in secure communication system. The simulation results show the validity of the conclusion and eectiveness of the algorithm.
Donglian Qi Lei Huang
College of Electrical Engineering Zhejiang University Hangzhou, 310027
国际会议
青岛
英文
2006-07-21(万方平台首次上网日期,不代表论文的发表时间)