期刊
NEURAL NETWORKS
卷 31, 期 -, 页码 1-11出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2012.02.038
关键词
Exponential synchronization; Finite distributed delays; Intermittent control; Reaction-diffusion neural networks; Diffusion effects
资金
- National Natural Science Foundation of People's Republic of China [10961022, 10901130, 61164004]
- Natural Science Foundation of Xinjiang [2010211A07]
- Xinjiang University [XJUBSCX-2010003]
In this paper, the globally exponential synchronization for a class of reaction-diffusion neural networks with Dirichlet boundary conditions and mixed delays is investigated based on periodically intermittent control. Some new and useful synchronization criteria in terms of p-norm are derived by introducing multi-parameters, using Lyapunov functional theory. Subsequently, a feasible region of the control parameters for each neuron is derived for the realization of exponential synchronization. Besides, according to the theoretical results, the influences of diffusion strengths and diffusion spaces on synchronization are analyzed and a very interesting fact is revealed that the synchronization of neural networks with reaction-diffusions is more easily realized than those of neural networks without reaction-diffusions. Finally, a reaction-diffusion chaotic network is given to demonstrate the effectiveness of the proposed control methods. (C) 2012 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据