Synchronization of fractional-order memristive recurrent neural networks via aperiodically intermittent control

被引：3
|
作者：
Zhang, Shuai [1 ,2 ,3 ]
Yang, Yongqing [4 ]
Sui, Xin [5 ]
Zhang, Yanna [1 ,2 ,3 ]
机构：
[1] Henan Normal Univ, Coll Comp & Informat Engn, Xinxiang 453007, Henan, Peoples R China
[2] Engn Lab Intelligence Business & Internet Things, Xinxiang 453007, Henan, Peoples R China
[3] Henan Normal Univ, Coll Math & Informat Sci, Xinxiang 453007, Henan, Peoples R China
[4] Jiangnan Univ, Sch Sci, Wuxi 214122, Jiangsu, Peoples R China
[5] Yantai Univ, Sch Math & Informat Sci, Yantai 264005, Peoples R China
来源：
MATHEMATICAL BIOSCIENCES AND ENGINEERING | 2022年 / 19卷 / 11期
关键词：
synchronization; fractional-order; memristive recurrent neural networks; aperiodically intermittent control; EXPONENTIAL STABILITY; PARAMETERS MISMATCH; MIXED DELAYS; SYSTEMS;
D O I：
10.3934/mbe.2022545
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, synchronization of fractional-order memristive recurrent neural networks via aperiodically intermittent control is investigated. Considering the special properties of memristor neural network, differential inclusion theory is introduced. Similar to the aperiodically strategy of integer order, aperiodically intermittent control strategy of fractional order is proposed. Under the framework of Fillipov's solution, based on the intermittent strategy of fractional order systems and the properties Mittag-Leffler, sufficient criteria of aperiodically intermittent strategy are obtained by constructing appropriate Lyapunov functional. Some comparisons are given to demonstrate the advantages of aperiodically strategy. A simulation example is given to illustrate the derived conclusions.
引用
收藏
页码：11717 / 11734
页数：18
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