A Delay-Range-Dependent Approach to Design State Estimator for Discrete-Time Recurrent Neural Networks With Interval Time-Varying Delay

被引：33

作者：

Lu, Chien-Yu ^{[1
]}

机构：

[1] Natl Changhua Univ Educ, Dept Ind Educ & Technol, Changhua 500, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2008年 / 55卷 / 11期

关键词：

Delay-range-dependent; interval time-varying delay; linear matrix inequality; state estimator;

D O I：

10.1109/TCSII.2008.2001988

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the problem of state estimation for discrete-time recurrent neural networks with interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. A delay-range-dependent condition for the existence of state estimators is proposed. Via available output measurements and solutions to certain linear matrix inequalities, general full-order state estimators are designed that ensure globally asymptotic stability. Two illustrative examples are given to demonstrate the effectiveness and applicability.

引用

页码：1163 / 1167

页数：5

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