Stabilizing and synchronizing the Markovian jumping neural networks with mode-dependent mixed delays based on quantized state feedback

被引：10

作者：

Cui, Wen-xia ^{[1
]}

Fang, Jian-an ^{[1
]}

Zhang, Wen-bing ^{[1
]}

机构：

[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2013年 / 350卷 / 02期

关键词：

EXPONENTIAL SYNCHRONIZATION; GLOBAL SYNCHRONIZATION; DISCRETE; SYSTEMS;

D O I：

10.1016/j.jfranklin.2012.11.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, stabilization and synchronization control problems are considered for Markovian jumping neural networks with mode-dependent mixed time delays subject to quantization and packet dropout. By using the novel Lyapunov-Krasovskii functional, stochastic analysis technology and quantization feedback method, the stabilization problem is solved for the addressed neural networks firstly. Also, it is assumed that system state is quantized before being communicated. Then the sufficient condition for the existence of an admissible controller is established to ensure the asymptotic synchronization of the resulting closed-loop coupled neural networks. Finally, two numerical examples are presented to show the validity of our theoretical analysis results. (C) 2012 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：275 / 299

页数：25

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