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 | |