Finite-time boundedness of uncertain time-delayed neural network with Markovian jumping parameters

被引：66

作者：

He, Shuping ^{[1
]}

Liu, Fei ^{[2
]}

机构：

[1] Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Peoples R China

[2] Jiangnan Univ, Inst Automat, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China

来源：

NEUROCOMPUTING | 2013年 / 103卷

基金：

中国国家自然科学基金;

关键词：

Markovian jumping neural networks (MJNNs); Finite-time boundedness (FTB); Time delay; Uncertainties; Linear matrix inequalities; DEPENDENT EXPONENTIAL STABILITY; H-INFINITY; ROBUST STABILITY; STABILIZATION; DISCRETE; SYSTEMS;

D O I：

10.1016/j.neucom.2012.09.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The stochastic finite-time boundedness (FTB) problem is considered for a class of Markovian jumping neural networks (MJNNs) with time delay and uncertainties. By selecting the appropriate stochastic Lyapunov-Krasovskii functional, sufficient conditions of stochastic FTB of MJNNs are presented and proved. The FTB criteria are formulated in the form of linear matrix inequalities. Simulation results illustrate the effectiveness of the developed approaches. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：87 / 92

页数：6

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