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Indexed by:会议论文

Date of Publication:2015-10-15

Included Journals:EI、CPCI-S、SCIE、Scopus

Volume:9377

Page Number:19-27

Key Words:synchronization; Cohen-Grossberg neural network; delays; noise perturbation

Abstract:In this paper, the hybrid function projective synchronization of unknown Cohen-Grossberg neural networks with time delays and noise perturbation is investigated. A hybrid control scheme combining open-loop control and adaptive feedback control is designed to guarantee that the drive and response networks can be synchronized up to a scaling function matrix with parameter identification by utilizing the LaSalle-type invariance principle for stochastic differential equations. Finally, the corresponding numerical simulations are carried out to demonstrate the validity of the presented synchronization method.