Synchronization of complex dynamical network with piecewise constant argument of generalized type

Shen, W; Zeng, Z; Wen, S

Synchronization of complex dynamical network with piecewise constant argument of generalized type

Shen, W Zeng, Z Wen, S

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Neurocomputing, 2016, 173, pp. 671-675
Issue Date:: 2016-01-15

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Field	Value	Language
dc.contributor.author	Shen, W
dc.contributor.author	Zeng, Z
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.date.accessioned	2022-08-15T00:58:53Z
dc.date.available	2022-08-15T00:58:53Z
dc.date.issued	2016-01-15
dc.identifier.citation	Neurocomputing, 2016, 173, pp. 671-675
dc.identifier.issn	0925-2312
dc.identifier.issn	1872-8286
dc.identifier.uri	http://hdl.handle.net/10453/160166
dc.description.abstract	This paper studies synchronization problems of complex dynamical network with mixed coupling via impulsive control. The model involves both advanced and delayed arguments, and the problem of the existence of the model is analyzed. Based on the stability theory for impulsive differential equations, an effective impulsive control scheme is proposed to achieve synchronization for complex dynamical networks. Finally, an example with numerical simulations is given to illustrate our results.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Neurocomputing
dc.relation.isbasedon	10.1016/j.neucom.2015.08.014
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.title	Synchronization of complex dynamical network with piecewise constant argument of generalized type
dc.type	Journal Article
utslib.citation.volume	173
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/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-15T00:58:52Z
pubs.publication-status	Published
pubs.volume	173

Abstract:

This paper studies synchronization problems of complex dynamical network with mixed coupling via impulsive control. The model involves both advanced and delayed arguments, and the problem of the existence of the model is analyzed. Based on the stability theory for impulsive differential equations, an effective impulsive control scheme is proposed to achieve synchronization for complex dynamical networks. Finally, an example with numerical simulations is given to illustrate our results.

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http://hdl.handle.net/10453/160166