Further results on state estimation for neural networks of neutral-type with time-varying delay

被引：125
|
作者：
Park, Ju H. [1 ]
Kwon, O. M. [2 ]
机构：
[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea
[2] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju, South Korea
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2009年 / 208卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
Neural networks; Neutral-type; State estimation; LMI; Lyapunov method; GLOBAL ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; ROBUST STABILITY; CRITERION; DISCRETE; SYSTEMS;
D O I：
10.1016/j.amc.2008.11.017
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, further result on design problem of state estimator for a class of neural networks of neutral type is presented. A delay-dependent linear matrix inequality (LMI) criterion for existence of the estimator is derived. A numerical simulation is given to show the effectiveness of proposed estimator. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码：69 / 75
页数：7
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