Finite-time Mittag–Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay

被引:0
|
作者
王冠 [1 ]
丁芝侠 [1 ]
李赛 [1 ]
杨乐 [1 ]
焦睿 [1 ]
机构
[1] Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering,Wuhan Institute of Technology
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP183 [人工神经网络与计算];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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 function, a novel complex-valued feedback controller is devised to research such systems. Under the framework of Filippov 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 synchronization 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.
引用
收藏
页码:345 / 354
页数:10
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