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Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation

  • Min Han
  • Yamei Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9377)

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.

Keywords

synchronization Cohen-Grossberg neural network delays noise perturbation 

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  1. 1.Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalianChina

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