Optimizing Control of Distributed Cyber-Physical Systems

Liu, Zonglin

dc.date.accessioned	2021-10-15T13:36:09Z
dc.date.available	2021-10-15T13:36:09Z
dc.date.issued	2021
dc.identifier	doi:10.17170/kobra-202107294443
dc.identifier.uri	http://hdl.handle.net/123456789/13295
dc.description	Zugleich: Universität Kassel, Dissertation, 2021	ger
dc.language.iso	eng	eng
dc.publisher	kassel university press
dc.rights	Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-sa/4.0/	*
dc.subject	modeling and control of cyber-physical systems	eng
dc.subject	hybrid systems	eng
dc.subject	uncertain systems	eng
dc.subject	model predictive control	eng
dc.subject	distributed optimization methods	eng
dc.subject.ddc	600
dc.title	Optimizing Control of Distributed Cyber-Physical Systems	eng
dc.type	Buch
dcterms.abstract	In this thesis, a set of modeling and control strategies are proposed for Cyber-physical systems (CPS), which aim at ensuring a safe, reliable, and highly performant operation of each local subsystem contained in the CPS. Modeling of CPS is challenging since not only must the tight interconnection of continuous and discrete dynamics of local subsystems be exactly represented, but so must also the interleaving structure between different subsystems. Optimal control of CPS, accordingly, should take into account not only the local mixed dynamics by local controller synthesis, but also the influence from other subsystems around.	eng
dcterms.accessRights	open access
dcterms.creator	Liu, Zonglin
dcterms.extent	vi, 168 Seiten
dc.contributor.corporatename	Kassel, Universität Kassel, Fachbereich Elektrotechnik / Informatik
dc.contributor.referee	Stursberg, Olaf (Prof. Dr.)
dc.contributor.referee	Görges, Daniel (Prof. Dr.)
dc.publisher.place	Kassel
dc.relation.isbn	978-3-7376-0976-0
dc.subject.swd	Cyber-physisches System	ger
dc.subject.swd	Hybrides System	ger
dc.subject.swd	Ungewissheit	ger
dc.subject.swd	Modellprädiktive Regelung	ger
dc.type.version	publishedVersion
kup.iskup	true
kup.price	24,00
kup.subject	Naturwissenschaft, Technik, Informatik, Medizin
kup.typ	Dissertation
kup.institution	FB 16 / Elektrotechnik / Informatik
kup.binding	Softcover
kup.size	DIN A5
ubks.epflicht	true