Dual-channel NCSs performance error estimation under DoS attacks and intelligent control supervised by machine learning to AGV application

Cai, X; Shi, K; Sun, Y; Cao, J; Wen, S; Chen, P; Tian, Z

Dual-channel NCSs performance error estimation under DoS attacks and intelligent control supervised by machine learning to AGV application

Cai, X Shi, K Sun, Y Cao, J Wen, S

Chen, P Tian, Z

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Transportation Electrification, 2023, PP, (99), pp. 1-1
Issue Date:: 2023

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Full metadata record

Field	Value	Language
dc.contributor.author	Cai, X
dc.contributor.author	Shi, K
dc.contributor.author	Sun, Y
dc.contributor.author	Cao, J
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Chen, P
dc.contributor.author	Tian, Z
dc.date.accessioned	2024-01-16T21:46:09Z
dc.date.available	2024-01-16T21:46:09Z
dc.date.issued	2023
dc.identifier.citation	IEEE Transactions on Transportation Electrification, 2023, PP, (99), pp. 1-1
dc.identifier.issn	2332-7782
dc.identifier.issn	2332-7782
dc.identifier.uri	http://hdl.handle.net/10453/174664
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Transportation Electrification
dc.relation.isbasedon	10.1109/tte.2023.3328305
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	4008 Electrical engineering
dc.title	Dual-channel NCSs performance error estimation under DoS attacks and intelligent control supervised by machine learning to AGV application
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0906 Electrical and Electronic Engineering
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	2024-01-16T21:46:08Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

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http://hdl.handle.net/10453/174664