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GENERALIZED PROJECTIVE SYNCHRONIZATION OF CHAOTIC NEURAL NETWORKS: OBSERVER-BASED APPROACH

XING YUAN WANG

School of Electronic & Information Engineering, Dalian University of Technology, Dalian 116024, China

Present address: Dalian University of Technology, Dalian, Liaoning Province, China.

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and

JUAN MENG

State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China

School of Information Engineering, Dalian Ocean University, Dalian 116023, China

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https://doi.org/10.1142/S0217979210055482Cited by:4 (Source: Crossref)

Abstract

In this paper, the generalized projective synchronization of chaotic neural networks is investigated. Based on the modified nonlinear state observer algorithm and the pole placement technique, a synchronization scheme is designed. The generalized projective synchronization of different chaotic neural networks can be achieved by using the proposed method. Numerical simulations further demonstrate the effectiveness of the proposed scheme.

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