文献类型：期刊文献

中文题名：Event-triggered impulsive synchronization of heterogeneous neural networks

作者：Zhengxin WANG[1,2];Chongfang JIN[1];Wangli HE[3];Min XIAO[2,4];Guo-Ping JIANG[2,4];Jinde CAO[5,6]

机构：[1]College of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;[2]Jiangsu Engineering Lab for IOT Intelligent Robots(IOTRobot),Nanjing University of Posts and Telecommunications,Nanjing 210023,China;[3]Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;[4]School of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;[5]School of Mathematics,Southeast University,Nanjing 210096,China;[6]Yonsei Frontier Lab,Yonsei University,Seoul 03722,Republic of Korea

年份：2024

卷号：67

期号：2

起止页码：327

中文期刊名：Science China(Information Sciences)

外文期刊名：中国科学（信息科学）（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2023_2024】；

基金：supported by Qing Lan Project of Jiangsu Province,Key Project of Natural Science Foundation of China(Grant No.61833005);National Natural Science Foundation of China(Grant Nos.42375016,61873326,62073172);Shanghai International Science&Technology Cooperation Program(Grant No.21550712400)。

语种：英文

中文关键词：impulsive;instantaneous;quasi;

摘要：Synchronization is one of the most important dynamics in neural networks.Several scholars have studied the quasi-synchronization of heterogeneous neural networks[1],wherein external controllers play a significant role.Impulsive control,a kind of energy-saving control,is activated instantaneously only at specific discrete moments.