Lag H<inf>∞</inf> synchronization and lag synchronization for multiple derivative coupled complex networks

Zhao, LH; Wang, JL

Lag H<inf>∞</inf> synchronization and lag synchronization for multiple derivative coupled complex networks

Zhao, LH Wang, JL

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Neurocomputing, 2020, 384, pp. 46-56
Issue Date:: 2020-04-07

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Field	Value	Language
dc.contributor.author	Zhao, LH
dc.contributor.author	Wang, JL
dc.date.accessioned	2024-03-19T03:21:03Z
dc.date.available	2024-03-19T03:21:03Z
dc.date.issued	2020-04-07
dc.identifier.citation	Neurocomputing, 2020, 384, pp. 46-56
dc.identifier.issn	0925-2312
dc.identifier.issn	1872-8286
dc.identifier.uri	http://hdl.handle.net/10453/176909
dc.description.abstract	This paper mainly devotes to the study of lag H∞ synchronization and lag synchronization issues for the multiple derivative coupled complex networks (MDCCNs) with and without external disturbances, which have never been investigated. On one side, with the help of state feedback controller, adaptive state feedback controller and Lyapunov functionals, two criteria are developed to insure the lag H∞ synchronization for the MDCCN with external disturbances. On the other side, we also discuss the lag synchronization in the MDCCN in virtue of choosing appropriate state feedback controller and adaptive state feedback controller. Lastly, two numerical examples are put forward to verify the lag H∞ synchronization and lag synchronization criteria.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Neurocomputing
dc.relation.isbasedon	10.1016/j.neucom.2019.11.100
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	52 Psychology
dc.title	Lag H<inf>∞</inf> synchronization and lag synchronization for multiple derivative coupled complex networks
dc.type	Journal Article
utslib.citation.volume	384
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-19T03:21:01Z
pubs.publication-status	Published
pubs.volume	384

Abstract:

This paper mainly devotes to the study of lag H∞ synchronization and lag synchronization issues for the multiple derivative coupled complex networks (MDCCNs) with and without external disturbances, which have never been investigated. On one side, with the help of state feedback controller, adaptive state feedback controller and Lyapunov functionals, two criteria are developed to insure the lag H∞ synchronization for the MDCCN with external disturbances. On the other side, we also discuss the lag synchronization in the MDCCN in virtue of choosing appropriate state feedback controller and adaptive state feedback controller. Lastly, two numerical examples are put forward to verify the lag H∞ synchronization and lag synchronization criteria.

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http://hdl.handle.net/10453/176909