Sampled-data control for state estimation of static neural networks

被引：1
|
作者：
Jung, H. Y. [1 ]
Park, J. H. [1 ]
Lee, S. M. [2 ]
机构：
[1] Yeungnam Univ, Nonlinear Dynam Grp, Daegu, South Korea
[2] Deagu Univ, Dept Elect & Elect Engn, Gyeongsan City, South Korea
来源：
2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 2 | 2014年
关键词：
Neural networks; Sampled-data; State estimation; STABILITY ANALYSIS; SYSTEMS;
D O I：
10.1109/CSCI.2014.144
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 brief, the problem of sampled-data state estimation for static neural network is investigated. The state-feedback control design method we develop in this paper relies on the information from the sampled states. By constructing a class of Lyapunov function and combining with some inequality, a sufficient condition for the existence of state estimator is derived.
引用
收藏
页码：301 / 302
页数：2
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