Polynomial synchronization of complexvalued inertial neural networks with multiproportional delays  

作　　者：Zhuang Yao Ziye Zhang Zhen Wang Chong Lin Jian Chen 

机构地区：[1]College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao 266590,China [2]Institute of Complexity Science,Qingdao University,Qingdao 266071,China [3]College of Automation Engineering,Qingdao University of Technology,Qingdao 266555,China

出　　处：《Communications in Theoretical Physics》2022年第12期146-153,共8页理论物理通讯（英文版）

基　　金：the National Natural Science Foundation of China (61503222, 62173214);the Natural Science Foundation of Shandong Province of China (ZR2021MF100);the Research Fund for the Taishan Scholar Project of Shandong Province of China;in part by the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (2019KJI005);in part by the SDUST Research Fund

摘　　要：This paper investigates the polynomial synchronization(PS)problem of complex-valued inertial neural networks with multi-proportional delays.It is analyzed based on the non-separation method.Firstly,an exponential transformation is applied and an appropriate controller is designed.Then,a new sufficient criterion for PS of the considered system is derived by the Lyapunov function approach and some inequalities techniques.In the end,a numerical example is given to illustrate the effectiveness of the obtained result.

关 键 词：complex-valued inertial neural networks polynomial synchronization multiproportional delays non-separation approach 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]