典型文献
Polynomial synchronization of complex-valued inertial neural networks with multi-proportional delays
文献摘要：
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.
文献关键词：
中图分类号：
作者姓名：
Zhuang Yao;Ziye Zhang;Zhen Wang;Chong Lin;Jian Chen
作者机构：
College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao 266590,China;Institute of Complexity Science,Qingdao University,Qingdao 266071,China;College of Automation Engineering,Qingdao University of Technology,Qingdao 266555,China
文献出处：
引用格式：
[1]Zhuang Yao;Ziye Zhang;Zhen Wang;Chong Lin;Jian Chen-.Polynomial synchronization of complex-valued inertial neural networks with multi-proportional delays)[J].理论物理,2022(12):146-153
A类：
B类：
Polynomial,synchronization,complex,valued,inertial,neural,networks,multi,proportional,delays,This,paper,investigates,polynomial,PS,problem,It,analyzed,separation,method,Firstly,exponential,transformation,applied,appropriate,controller,designed,Then,new,sufficient,criterion,considered,system,derived,by,Lyapunov,function,approach,some,inequalities,techniques,In,end,numerical,example,given,illustrate,effectiveness,obtained,result
AB值：
0.658873
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