Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control

Abstract

In this paper, the synchronization problem for neural networks with stochastic perturbation is studied with intermittent control via adaptive aperiodicity. Under the framework of stochastic theory and Lyapunov stability method, we develop some techniques of intermittent control with adaptive aperiodicity to achieve the synchronization of a class of neural networks, modeled by stochastic systems. Some effective sufficient conditions are established for the realization of synchronization of the underlying network. Numerical simulations of two examples are provided to illustrate the theoretical results obtained in the paper.

DOI: 10.1016/j.neunet.2015.08.002

Cite this paper

@article{Zhang2015SynchronizationON, title={Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control}, author={Wei Zhang and Chuandong Li and Tingwen Huang and Mingqing Xiao}, journal={Neural networks : the official journal of the International Neural Network Society}, year={2015}, volume={71}, pages={105-11} }