Study on chaotic synchronization for 3D Hopfield neural network
Fangyan Yang · Journal of Chongqing University of Posts and Telecommunications · 2009
This paper proposes an observer-based method to design synchronization systems for the chaotic systems containing multiple nonlinear parts by a scalar output.By a transform on the error system,the dynamical effect from the nonlinear parts is reduced,and therefore the number of parameters for pole assignment is decreased.This method was successfully applied to the synchronization of the 3D Hopfield neural network which has three nonlinear parts.Computer simulation shows that the synchronization error becomes zero very fast,which suggests that the method is effective.Since the Hopfield-type chaotic neural network has a global attractive attractor,this work may be used in practical application of chaos.