Finite-time synchronization of Markovian jump complex networks with partially unknown transition rates

被引:71
作者
Cui, Wenxia [1 ]
Sun, Shaoyuan [1 ]
Fang, Jian-an [1 ]
Xu, Yulong [1 ,2 ]
Zhao, Lingdong [1 ,3 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Henan Univ Tradit Chinese Med, Inst Informat & Technol, Zhengzhou 450003, Peoples R China
[3] Nantong Univ, Sch Elect & Informat, Nantong 226019, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2014年 / 351卷 / 05期
关键词
COUPLED NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; LINEAR-SYSTEMS; STABILITY; STABILIZATION; EQUATIONS; MATRIX;
D O I
10.1016/j.jfranklin.2013.11.006
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, finite-time synchronization problem is considered for a class of Markovian jump complex networks (MJCNs) with partially unknown transition rates. By constructing the suitable stochastic Lyapunov-Krasovskii functional, using finite-time stability theorem, inequality techniques and the pinning control technique, several sufficient criteria have been proposed to ensure the finite-time synchronization for the MJCNs with or without time delays. Since finite-time synchronization means the optimality in convergence time and has better robustness and disturbance rejection properties, this paper has important theory significance and practical application value. Finally, numerical simulations illustrated by mode jumping from one mode to another according to a Markovian chain with partially unknown transition probability verify the effectiveness of the proposed results. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2543 / 2561
页数:19
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