State Estimation for Quaternion-Valued Neural Networks With Multiple Time Delays

被引：76

作者：

Chen, Xiaofeng ^{[1
]}

Song, Qiankun ^{[1
]}

机构：

[1] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2019年 / 49卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Linear matrix inequalities (LMIs); quaternion-valued neural networks (QVNNs); state estimation; time delays; H-INFINITY; ASSOCIATIVE MEMORY; STABILITY; DESIGN;

D O I：

10.1109/TSMC.2017.2776940

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 addresses the issue of state estimation for the quaternion-valued neural networks (QVNNs) with leakage, discrete, and distributed delays by employing the Lyapunov stability theory and the quaternion matrix theory. The criteria are developed in two forms of quaternion-valued linear matrix inequalities (LMIs) and complex-valued LMIs for guaranteeing the existence and stability of state estimators of the delayed QVNNs. Two numerical examples are provided to illustrate the effectiveness of the obtained results.

引用

页码：2278 / 2287

页数：10

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