Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks
Joint Authors
Zhong, Jing
Gao, Zilin
Xiong, Jiang
Liu, Fuming
Liu, Qingshan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The state observer for dynamic links in complex dynamical networks (CDNs) is investigated by using the adaptive method whether the networks are undirected or directed.
In this paper, a complete network model is proposed, which is composed of two coupled subsystems called nodes subsystem and links subsystem, respectively.
Especially, for the links subsystem, associated with some assumptions, the state observer with parameter adaptive law is designed.
Compared to the existing results about the state observer design of CDNs, the advantage of this method is that a estimation problem of dynamic links is solved in directed networks for the first time.
Finally, the results obtained in this paper are demonstrated by performing a numerical example.
American Psychological Association (APA)
Gao, Zilin& Xiong, Jiang& Zhong, Jing& Liu, Fuming& Liu, Qingshan. 2020. Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1138895
Modern Language Association (MLA)
Gao, Zilin…[et al.]. Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1138895
American Medical Association (AMA)
Gao, Zilin& Xiong, Jiang& Zhong, Jing& Liu, Fuming& Liu, Qingshan. Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1138895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138895