New result on synchronization of complex dynamical networks with time-varying coupling delay and sampled-data control

被引：28

作者：

Wang, Xin ^{[1
]}

She, Kun ^{[1
]}

Zhong, Shouming ^{[2
]}

Yang, Huilan ^{[2
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 214卷

关键词：

Synchronization; Triple integral terms; Complex dynamical networks; Sampled-data control; Time-varying coupling delay; MASTER-SLAVE SYNCHRONIZATION; EXPONENTIAL SYNCHRONIZATION; LINEAR-SYSTEMS; LURE SYSTEMS; STABILITY; RESET;

D O I：

10.1016/j.neucom.2016.06.033

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 sampled-data synchronization control problem is investigated for complex dynamical networks (CDNs) with time-varying coupling delay. By constructing a suitable Lyapunov-Krasovskii functional containing some novel triple integral terms with sufficient information about the actual sampling pattern, and together with a general inverse of first-order technique and some effective integral inequalities, less conservative conditions are given in terms of linear matrix inequalities (LMIs) to guarantee the synchronization of sampled-data CDNs with time-varying coupling delay. Numerical examples are provided to illustrate the effectiveness and less conservativeness of the proposed approaches. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：508 / 515

页数：8

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