New Filter Design for Static Neural Networks with Mixed Time-Varying Delays

被引：1

作者：

Liu, Guoquan ^{[1
]}

Zhou, Shumin ^{[1
]}

Luo, Xianxi ^{[1
]}

Zhang, Keyi ^{[1
]}

机构：

[1] East China Univ Technol, Jiangxi Prov Engn Res Ctr New Energy Technol & Eq, Nanchang 330013, Peoples R China

来源：

INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT II | 2016年 / 9772卷

关键词：

Filter design; Static neural networks; Lyapunov-Krasovskii functional; Distributed time-varying delay; DEPENDENT H-INFINITY; DISTRIBUTED DELAYS; ROBUST STABILITY; DISCRETE; ESTIMATOR; MODELS;

D O I：

10.1007/978-3-319-42294-7_10

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on designing a H-infinity filter for a class of static neural networks with mixed time-varying delays. Here the mixed time-varying delays contain both discrete and distributed time-varying delays. Based on a Lyapunov-Krasovskii functional combined with a zero equation, a suitable H-infinity filter is obtained for the static neural networks model. The filter can be solved by a linear matrix inequality (LMI). Two numerical examples are presented to validate the proposed method. In addition, the obtained filter can be applied to design the control systems with delays.

引用

页码：117 / 129

页数：13

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