Design of delay-range-dependent state estimators for discrete-time recurrent neural networks with interval time-varying delay

被引：2
|
作者：
Lu, Chien-Yu [1 ]
Cheng, Jui-Chuan [2 ]
Su, Te-Jen [2 ]
机构：
[1] Natl Changhua Univ Educ, Dept Ind Educ & Technol, Changhua 500, Taiwan
[2] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung 807, Taiwan
来源：
2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2008年
关键词：
delay-range-dependent; state estimator; interval time-varying delay; linear matrix inequality;
D O I：
10.1109/ACC.2008.4587154
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper performs a global stability analysis of a particular class of recurrent neural networks (RNN) with time-varying delay. Both Lipschitz continuous activation functions and monotone nondecreasing activation functions are considered. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities (LMI) through the use of Leibniz-Newton formula and relaxation matrices. Finally, two numerical examples are given to illustrate the effectiveness of the given criterion.
引用
收藏
页码：4209 / +
页数：2
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