Event-triggered impulsive synchronization of heterogeneous neural networks

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

机构地区：[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

出　　处：《Science China(Information Sciences)》索引2024年第67卷第2期,共2页

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)。 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. 关键词：IMPULSIVE instantaneous QUASI

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Event-triggered impulsive synchronization of heterogeneous neural networks

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