Synchronization of complex networks with memristive neural network nodes via impulsive control

被引：0
|
作者：
Ban, Yuangui [1 ]
Zhang, Yijun [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Complex dynamical network; memristive neural network; synchronization; impulsive control; TIME-VARYING DELAYS; DYNAMICAL NETWORKS; STABILITY; PERIODICITY;
D O I：
10.1109/ccdc.2019.8833419
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the issue for the exponential synchronization of complex networks. Considering the excellent approximation ability of the memristive neural network, the dynamic of each node in complex networks is approximated by a memristive neural network. Compared with exiting papers concerning with impulsive synchronization control of complex networks, a new kind of impulsive controller, in which the possible impulsive controller gain fluctuation is taken into consideration, is designed. Based on the time-varying Lyapunov functional approach, a sufficient condition is derived to guarantee the synchronization of complex networks. Finally, a numerical example is provided to demonstrate the effectiveness of the theoretical result.
引用
收藏
页码：2355 / 2360
页数：6
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