Exponential Synchronization of Stochastic Reaction Diffusion Fuzzy Cohen Grossberg Neural Networks With Time Varying Delays Via Periodically Intermittent Control

Abstract

In this paper, the exponential synchronization problem for fuzzy CohenGrossberg neural networks with timevarying delays, stochastic noise disturbance, and reactiondiffusion effects are investigated. By introducing a novel LyapunovKrasovskii functional with the idea of delay partitioning, a periodically intermittent controller is developed to derive sufficient conditions ensuring the addressed neural networks to be exponentially synchronized in terms of pnorm. The results extend and improve upon earlier work. A numerical example is provided to show the effectiveness of the proposed theories.