Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2015-10-15

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

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.