An event-based interaction method for consensus of multiple complex networks

被引：3
|
作者：
Que, Haoyi [1 ]
Fang, Mei [2 ]
Xu, Zhaowen [1 ]
Su, Hongye [3 ]
Huang, Tingwen [4 ]
Sun, Pei [1 ]
机构：
[1] Shenzhen Polytech, Inst Intelligence Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
[2] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
[3] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Yuquan Campus, Hangzhou 310027, Zhejiang, Peoples R China
[4] Texus A&M Univ Qatar, Doha 23874, Qatar
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 18期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
RECURRENT NEURAL-NETWORKS; TIME-VARYING DELAY; EXPONENTIAL SYNCHRONIZATION; STABILITY ANALYSIS; SYSTEMS; CONVERGENCE; ALGORITHM;
D O I：
10.1016/j.jfranklin.2019.12.026
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A consensus criterion for multiple complex networks is proposed in the paper. Based on event -triggered samplers, a projection is employed to select communication instant for various complex systems with the same natural attributes, with that the transmission of information between networks is synchronous. To reduce redundant data in sampling, by utilizing the generalized free-weighting matrix approach, the expression form of consensus criterion for multiple networks is simplified. Available information could be fully utilized, and the advantages of self-triggered scheme are retained. A numerical example of multiple unmanned aerial vehicles is offered to show effectiveness. (c) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：13766 / 13784
页数：19
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