Passivity analysis of discrete-time memristive neural networks with time-varying delay

被引：2
|
作者：
Kang, Wei [1 ]
Zhong, Shouming [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu, Sichuan, Peoples R China
来源：
2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2 | 2017年
关键词：
Passivity; Memristive neural networks; Time-varying delay; LMIs;
D O I：
10.1109/IHMSC.2017.177
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the passivity problem is studied for discrete-time memristive neural networks with time-varying delay. By using the theories of set-valued map and difference inclusions, the system of discrete-time memristive neural network was changed to the conventional one. Then, by choosing a suitable Lyapunov-Krasovskii functional, some sufficient delay-dependent passivity conditions are established in the form of linear matrix inequalities (LMIs) which can be checked numerically. Finally, we provide a numerical example to illustrate the effectiveness of the proposed method.
引用
收藏
页码：290 / 293
页数：4
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