title: Exponential synchronization of stochastic Cohen-Grossberg neural networks with mixed time-varying delays and reaction-diffusion via periodically intermittent control.
abstract: The issue of exponential synchronization for Cohen-Grossberg neural networks with mixed time-varying delays, stochastic noise disturbance and reaction-diffusion effects is investigated. An approach combining Lyapunov stability theory with stochastic analysis approaches and periodically intermittent control is taken to investigate this problem. The proposed criterion for exponential synchronization generalizes and improves those reported recently in the literature. This paper also presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the proposed scheme.
authors.affiliation: Department of Basic Science, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, PR China. ganqintao@sina.com
authors.forename: Qintao
authors.initials: Q
authors.lastname: Gan
mesh_terms: D016571:Neural Networks, Computer; D010507:Periodicity; D013269:Stochastic Processes; D013997:Time Factors