Topology identification for a class of complex dynamical networks using output variables

A problem of topology identification for complex dynamical networks is investigated in this paper. An adaptive observer is proposed to identify the topology of a complex dynamical networks based on the Lyapunov stability theory. Here the output of the network and the states of the observer are used...

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Bibliographic Details
Published inChinese physics B Vol. 21; no. 2; pp. 193 - 201
Main Author 樊春霞 万佑红 蒋国平
Format Journal Article
LanguageEnglish
Published 01.02.2012
Subjects
Construction
Criteria
Inequalities
Lyapunov稳定性理论
Mathematical models
Networks
Stability
Topology
动态网络拓扑
拓扑结构
线性不等式
网络输出
观测网络
识别问题
输出变量
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Summary:A problem of topology identification for complex dynamical networks is investigated in this paper. An adaptive observer is proposed to identify the topology of a complex dynamical networks based on the Lyapunov stability theory. Here the output of the network and the states of the observer are used to construct the updating law of the topology such that the communication resources from the network to its observer are saved. Some convergent criteria of the adaptive observer are derived in the form of linear inequality matrices. Several numerical examples are shown to demonstrate the effectiveness of the proposed observer.
Bibliography:complex dynamical networks, topology identification, adaptive observer, output variables
A problem of topology identification for complex dynamical networks is investigated in this paper. An adaptive observer is proposed to identify the topology of a complex dynamical networks based on the Lyapunov stability theory. Here the output of the network and the states of the observer are used to construct the updating law of the topology such that the communication resources from the network to its observer are saved. Some convergent criteria of the adaptive observer are derived in the form of linear inequality matrices. Several numerical examples are shown to demonstrate the effectiveness of the proposed observer.
Fan Chun-Xia, Wan You-Hong, Jiang Guo-Ping College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
11-5639/O4
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1674-1056
2058-3834
1741-4199
DOI:10.1088/1674-1056/21/2/020510