Design of state estimator for discrete-time neural networks: Delay-independent approach

被引：3

作者：

Park, Ju Hyun ^{[1
]}

Jung, Ho-Youl ^{[2
]}

Park, Chang Hyeon ^{[3
]}

机构：

[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea

[2] Yeungnam Univ, Dept Informat & Commun Engn, Kyongsan 712749, South Korea

[3] Yeungnam Univ, Dept Comp Engn, Kyongsan 712749, South Korea

来源：

JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN | 2008年 / 77卷 / 05期

关键词：

discrete-time neural networks; state estimation; LMI;

D O I：

10.1143/JPSJ.77.053001

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter, the design problem of state estimator for a class of discrete-time neural networks is studied. A delay-independent linear matrix inequality (LMI) criterion for existence of the estimator is derived by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectiveness of proposed method.

引用

页数：4

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