Adaptive event-trigger-based sampled-data stabilization of complex-valued neural networks:a real and complex LMI approach  

作　　者：Xiaohong WANG Zhen WANG Jianwei XIA Hao SHEN Yuxia LI 

机构地区：[1]College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China [2]College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao 266590,China [3]School of Mathematical Science,Liaocheng University,Liaocheng 252059,China [4]School of Electrical Engineering and Information,Anhui University of Technology,Ma'anshan 243002,China

出　　处：《Science China(Information Sciences)》2023年第4期293-294,共2页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61573008,61973199,61973200);Taishan Scholar Project of Shandong Province of China;SDUST Research Fund(Grant No.2018 TDJH101)。

摘　　要：Dear editor,With the popularization of digital techniques,practical control systems are usually implemented via embedded microprocessors,and sampled-data control is applied.The system state is sampled and received by the controller only at discrete sampling instants[1].

关 键 词：networks neural EDITOR 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP183[自动化与计算机技术—控制科学与工程]