Adaptive Fixed-Time Synchronization of Delayed Memristor-Based Neural Networks with Discontinuous Activations

查看全文 作　　者：Tianyuan [1]Jia;Xiangyong [1,2]Chen;Xiurong [1]Yao;Feng [1]Zhao;Jianlong [1]Qiu 机构地区：[1]School of Automation and Electrical Engineering,and Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong,Linyi University,Linyi,276005,China;[2]The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and School of Automation,China University of Geosciences,Wuhan,430074,China 出　　处：《Computer Modeling in Engineering & Sciences》索引2023年第1期,共19页 基　　金：supported by National Natural Science Foundation of China under(Grant Nos.62173175,12026235,12026234,61903170,11805091,61877033,61833005);by 111 Project under Grant B17040;by the Natural Science Foundation of Shandong Province under Grant Nos.ZR2019BF045,ZR2019MF021,ZR2019QF004;by the Project of Shandong Province Higher Educational Science and Technology Program No.J18KA354;by the Key Research and Development Project of Shandong Province of China,No.2019GGX101003. 摘　　要：Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this paper.Both continuous and discontinuous activations are considered forMNNs.And the mixed delays which are closer to reality are taken into the system.Besides,two kinds of control schemes are proposed,including feedback and adaptive control strategies.Based on some lemmas,mathematical inequalities and the designed controllers,a few synchronization criteria are acquired.Moreover,the upper bound of settling time(ST)which is independent of the initial values is given.Finally,the feasibility of our theory is attested by simulation examples. 关 键 词：Memristor-based neural networks fixed-time synchronization mixed delays discontinuous activations adaptive control