Algebraical criteria of stability for delayed memristive neural networks

被引：3
作者：
Wu, Ailong [1 ,2 ,3 ]
Zeng, Zhigang [3 ]
机构：
[1] Hubei Normal Univ, Coll Math & Stat, Huangshi 435002, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Informat & Syst Sci, Xian 710049, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
来源：
ADVANCES IN DIFFERENCE EQUATIONS | 2015年
关键词：
memristive neurodynamic systems; hybrid systems; switched network cluster; stability; TIME-VARYING DELAYS; EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; ROBUST STABILITY; STATE ESTIMATION; SYNCHRONIZATION; DISCRETE; SYSTEMS; STABILIZATION; EQUATIONS;
D O I：
10.1186/s13662-015-0449-z
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Memristive neurodynamic systems find many potential applications in mixed analog-digital multichip neurogrid and integrated photo-supercapacitor nanotube arrays. Analysis and design of memristive neurodynamic systems have attracted a large amount of research interest. In this study, some new neurodynamic approaches are proposed for stability analysis of delayed memristive neural networks. Some less conservative stability criteria are established by considering the memristor multiport effect, which is ignored in the previous literature. Numerical examples are given to demonstrate the effectiveness of these stability criteria.
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页数：10
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