Open AccessTopology identification of a class of complex spatio‐temporal networks with time delay
Author(s) -
Zhou DanDan,
Guan ZhiHong,
Liao RuiQuan,
Chi Ming,
Xiao JiangWen,
Jiang XiaoWei
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2016.1132
Subject(s) - topology (electrical circuits) , identification (biology) , observer (physics) , computer science , network topology , complex network , class (philosophy) , coupling (piping) , control theory (sociology) , control (management) , mathematics , artificial intelligence , engineering , botany , combinatorics , biology , mechanical engineering , physics , quantum mechanics , world wide web , operating system
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.