Robust stability and robust passivity of parabolic complex networks with parametric uncertainties and time-varying delays

被引：28

作者：

Wang, Jin-Liang ^{[1
]}

Wu, Huai-Ning ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China

来源：

NEUROCOMPUTING | 2012年 / 87卷

基金：

中国国家自然科学基金;

关键词：

Parabolic complex networks; Robust global exponential stability; Robust passivity; REACTION-DIFFUSION SYSTEM; NEURAL-NETWORKS; DYNAMICAL NETWORKS; ASYMPTOTIC-BEHAVIOR; GLOBAL ATTRACTOR; FUEL-CELL; SYNCHRONIZATION; MODEL;

D O I：

10.1016/j.neucom.2012.02.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the robust global exponential stability and robust passivity are investigated for a class of parabolic complex networks with multiple time-varying delays. By constructing appropriate Lyapunov functionals and utilizing inequality techniques, several criteria for robust global exponential stability and robust passivity are established. Finally, a numerical example is also given to illustrate the effectiveness of the obtained results. (c) 2012 Elsevier B.V.. All rights reserved.

引用

页码：26 / 32

页数：7

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