Exponential synchronization of stochastic CohenGrossberg neural networks with mixed time-varying delays and reactiondiffusion via periodically intermittent control ?
The issue of exponential synchronization for CohenGrossberg neural networks with mixed time-varying delays, stochastic noise disturbance and reactiondiffusion 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.
synchronization stochastic cohengrossberg neural networks mixed time-varying delays reactiondiffusion periodically intermittent control