Passivity analysis and state estimation for a class of memristor-based neural networks with multiple proportional delays

被引：0
|
作者：
Jian Liu
Rui Xu
机构：
[1] Shijiazhuang Mechanical Engineering College,Institute of Applied Mathematics
来源：
Advances in Difference Equations | / 2017卷
关键词：
memristor-based neural networks; passivity; state estimation; proportional delays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with the problem of a passivity analysis for a class of memristor-based neural networks with multiple proportional delays and the state estimator is designed for the memristive system through the available output measurements. By constructing a proper Lyapunov-Krasovskii functional, new criteria are obtained for the passivity and state estimation of the memristive neural networks. Finally, a numerical example is given to illustrate the feasibility of the theoretical results.
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