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Vorausschauende Regelung von Fahrzeugsystemen durch stochastische Vorhersage der Fahrzeugdynamik

dc.contributor.authorFünfgeld, Sebastian
dc.date.accessioned2025-03-08T11:38:06Z
dc.date.available2025-03-08T11:38:06Z
dc.date.issued2021
dc.date.submitted2021-05-27T09:28:10Z
dc.identifierONIX_20210527_9783731510604_18
dc.identifier1869-6058
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48821
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/197619
dc.description.abstractPredictive control of vehicle systems often requires application of forecasting models. In this work a stochastic framework for generating forecasts of vehicle dynamics is proposed, to directly address uncertainty within the control algorithms. Building on this framework, the predictive control of vehicle systems with stochastic optimal control algorithms is investigated, implemented and evaluated for two exemplary vehicle systems.
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials
dc.subject.othermpc
dc.subject.otherdriver behavior
dc.subject.othervehicle system
dc.subject.otherforecast
dc.subject.otherpredictive control
dc.subject.otherMPC
dc.subject.otherFahrerverhalten
dc.subject.otherFahrzeugsystem
dc.subject.otherVorhersage
dc.subject.otherVorausschauende Regelung
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleVorausschauende Regelung von Fahrzeugsystemen durch stochastische Vorhersage der Fahrzeugdynamik
dc.typebook
oapen.identifier.doi10.5445/KSP/1000125407
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510604
oapen.pages236
oapen.place.publicationKarlsruhe
dc.seriesnumber76
dc.abstractotherlanguagePredictive control of vehicle systems often requires application of forecasting models. In this work a stochastic framework for generating forecasts of vehicle dynamics is proposed, to directly address uncertainty within the control algorithms. Building on this framework, the predictive control of vehicle systems with stochastic optimal control algorithms is investigated, implemented and evaluated for two exemplary vehicle systems.
dc.anonymityAll identities known
dc.peerreviewid51a542ec-eaeb-47c2-861d-6022e981a97a
dc.peerreviewtitleDissertations in Series (Dissertationen in Schriftenreihe)
dc.openreviewNo
dc.responsibilityBooks or series editor
dc.stagePre-publication
dc.reviewtypeFull text
dc.reviewertypeEditorial board member
dc.reviewertypeExternal peer reviewer


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