A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays

被引：0

作者：

Xu, Xianyun ^{[1
]}

Yang, Changchun ^{[1
]}

Hu, Manfeng ^{[1
]}

Yang, Yongqing ^{[1
]}

Li, Li ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2015 | 2015年 / 9377卷

关键词：

state estimation; sampled measurements; neutral-type; neural network; delay; EXPONENTIAL STABILITY; DISCRETE; SYSTEMS;

D O I：

10.1007/978-3-319-25393-0_14

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with the sampled-data state estimation problem for neural networks of neutral-type with time-varying delays. A new state estimator was designed based on the sampled measurements. The sufficient condition for the existence of state estimator is derived by using the Lyapunov functional method. A numerical example is given to show the effectiveness of the proposed estimator.

引用

收藏

页码：121 / 128

页数：8

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