Topology identification of a class of complex spatio-temporal networks with time delay

被引:4
|
作者
Zhou, Dan-Dan [1 ,2 ]
Guan, Zhi-Hong [1 ]
Liao, Rui-Quan [3 ]
Chi, Ming [1 ]
Xiao, Jiang-Wen [1 ]
Jiang, Xiao-Wei [1 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Peoples R China
[2] Hubei Univ Educ, Sch Math & Econometr, Wuhan 430205, Peoples R China
[3] Yangtze Univ, Petr Engn Coll, Jingzhou 434023, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2017年 / 11卷 / 05期
基金
中国国家自然科学基金;
关键词
complex networks; delays; topology; adaptive control; feedback; observers; partial differential equations; topology identification; complex spatio-temporal networks; time delay; novel updating laws; adaptive feedback observer method; coupled partial differential equations; 2ND-ORDER MULTIAGENT SYSTEMS; CHAOTIC NEURAL-NETWORKS; DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; COUPLING DELAY; PARAMETERS; CONSENSUS; OBSERVER;
D O I
10.1049/iet-cta.2016.1132
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of topology identification is valuable to understand and control complex networks. Furthermore, many complex networks are spatio-temporal in the real world. This study proposes a method to identify the topology of complex spatio-temporal networks with coupling time delay. Adaptive observer and novel updating laws are designed to provide the estimation of the topology. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method. The result is general and can be applicable to contemporary network science and engineering.
引用
收藏
页码:611 / 618
页数:8
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