Stability analysis of impulsive parabolic complex networks with multiple time-varying delays

被引：8
|
作者：
Wang, Jin-Liang [1 ]
Wu, Huai-Ning [1 ]
Guo, Lei [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 / 97卷
基金：
中国国家自然科学基金;
关键词：
Impulsive parabolic complex network (IPCN); Time-varying delays; Global exponential stability (GES); Robust global exponential stability (RGES); PREDATOR-PREY SYSTEM; DYNAMICAL NETWORKS; SYNCHRONIZATION; DIFFUSION; MODEL; CONVERGENCE; EQUILIBRIUM; PATTERNS; CRITERIA; NODES;
D O I：
10.1016/j.neucom.2012.05.024
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the present paper, a new impulsive parabolic complex network (IPCN) with time-varying delays is proposed. Then, by constructing appropriate Lyapunov functionals and utilizing inequality techniques, some sufficient conditions are given to ensure that the proposed network model is globally exponentially stable. Furthermore, when the parameter uncertainties appear in the IPCN, several robust global exponential stability conditions are also presented. Finally, two examples with numerical simulations are provided to demonstrate the effectiveness of our criteria. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：364 / 373
页数：10
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