Exponential synchronization for neural networks with mixed time-varying delays via periodically intermittent control  

作　　者：Pinghua Yang Xinan Tang 

机构地区：[1]Department of MathematicsShijiazhuang Mechanical Engineering College Shijiazhuang 050003, P. R. China

出　　处：《International Journal of Biomathematics》2014年第2期103-120,共18页生物数学学报（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China （No. 61305076）.

摘　　要：This paper deals with exponential synchronization for a class of neural networks with mixed time-varying delays via periodically intermittent control. Some novel and effective exponential synchronization criteria are derived by constructing Lyapunov functional and applying some analysis techniques. These results presented in this paper generalize and improve many known results. Finally, this paper presents an illustrative example and uses the simulated results to show the feasibility and effectiveness of the proposed scheme.

关 键 词：Exponential synchronization neural networks mixed time-varying delays periodically intermittent control. 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP273.5[自动化与计算机技术—控制科学与工程]