title: Exponential synchronization of stochastic neural networks with leakage delay and reaction-diffusion terms via periodically intermittent control.
abstract: We explore the issue of integrating leakage delay, stochastic noise perturbation, and  reaction-diffusion effects into the study of synchronization for neural networks with  time-varying delays. By using Lyapunov stability theory and stochastic analysis approaches, a periodically intermittent controller is proposed to guarantee the exponential synchronization of proposed coupled neural networks based on p-norm. Some existing results are improved and extended. The usefulness and superiority of our theoretical results are illustrated by a numerical example.
authors.affiliation: Department of Basic Science, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, People's Republic of China. ganqintao@sina.com
authors.forename: Qintao
authors.initials: Q
authors.lastname: Gan
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000379:methods*; D013269:Stochastic Processes