典型文献
Finite-time Mittag-Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay
文献摘要：
Without dividing the complex-valued systems into two real-valued ones,a class of fractional-order complex-valued memristive neural networks(FCVMNNs)with time delay is investigated.Firstly,based on the complex-valued sign func-tion,a novel complex-valued feedback controller is devised to research such systems.Under the framework of Filip-pov solution,differential inclusion theory and Lyapunov stability theorem,the finite-time Mittag-Leffler synchronization(FTMLS)of FCVMNNs with time delay can be realized.Meanwhile,the upper bound of the synchronization settling time(SST)is less conservative than previous results.In addition,by adjusting controller parameters,the global asymptotic syn-chronization of FCVMNNs with time delay can also be realized,which improves and enrich some existing results.Lastly,some simulation examples are designed to verify the validity of conclusions.
文献关键词：
中图分类号：
作者姓名：
Guan Wang;Zhixia Ding;Sai Li;Le Yang;Rui Jiao
作者机构：
Hubei Key Laboratory of Optical Information and Pattern Recognition,School of Electrical and Information Engineering,Wuhan Institute of Technology,Wuhan 430205,China
文献出处：
引用格式：
[1]Guan Wang;Zhixia Ding;Sai Li;Le Yang;Rui Jiao-.Finite-time Mittag-Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay)[J].中国物理B（英文版）,2022(10):334-343
A类：
FCVMNNs,Filip,FTMLS
B类：
Finite,Mittag,Leffler,synchronization,fractional,order,complex,valued,memristive,neural,networks,delay,Without,dividing,systems,into,ones,class,investigated,Firstly,func,novel,feedback,controller,devised,research,such,Under,framework,pov,solution,differential,inclusion,theory,Lyapunov,stability,theorem,finite,can,be,realized,Meanwhile,upper,bound,settling,SST,less,conservative,than,previous,results,In,addition,by,adjusting,parameters,global,asymptotic,also,which,improves,enrich,some,existing,Lastly,simulation,examples,are,designed,verify,validity,conclusions
AB值：
0.536042
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
