Synchronisation control for a class of complex-valued fractional-order memristor-based delayed neural networks

被引:5
|
作者
Liu, Dan [1 ]
Ye, Dan [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110189, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional-order system; complex-valued neural networks; memristor; synchronisation; linear feedback control; STABILITY ANALYSIS; ROBUST SYNCHRONIZATION; SYSTEM;
D O I
10.1080/00207721.2019.1646347
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the problem of drive-response synchronisation of complex-valued fractional-order memristor-based delayed neural networks is discussed via linear feedback control method. By separating complex-valued system into two equivalent real-valued systems, and using the comparison theorem, algebraic criteria are given to ascertain the synchronisation of the considered system with single delay. Meanwhile, for the case of model with multiple delays, the corresponding sufficient conditions are also presented. Because complex-valued system can reduce to real-valued ones when the imaginary part is ignored, the proposed results of this paper generalise existing works on relevant real-valued system. Finally, the effectiveness of the obtained theoretical results is testified by two numerical examples.
引用
收藏
页码:2015 / 2029
页数:15
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