Mostra el registre d'ítem simple

dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-02-27T13:21:06Z
dc.date.available2019-02-27T13:21:06Z
dc.date.issued2018
dc.identifier.citationPuig, V. Robust fault detection for vehicle lateral dynamics: Azonotope-based set-membership approach. A: International IEEE Conference on Intelligent Transportation Systems. "21st IEEE International Conference on Intelligent Transportation Systems". 2018, p. 1364-1369.
dc.identifier.urihttp://hdl.handle.net/2117/129891
dc.description© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractIn this work, a model-based fault detection layoutfor vehicle lateral dynamics system is presented. The majorfocus in this study is on the handling of model uncertainties andunknown inputs. In fact, the vehicle lateral model is affectedby several parameter variations such as longitudinal velocity,cornering stiffnesses coefficients and unknown inputs like windgust disturbances. Cornering stiffness parameters variation isconsidered to be unknown but bounded with known compactset. Their effect is addressed by generating intervals for theresiduals based on the zonotope representation of all possiblevalues. The developed fault detection procedure has been testedusing real driving data acquired from a prototype vehicle.Index Terms— Robust fault detection, interval models,zonotopes, set-membership, switched uncertain systems, LMIs,input-to-state stability, arbitrary switching.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshSystem failures (Engineering)
dc.subject.lcshMotor vehicles
dc.titleRobust fault detection for vehicle lateral dynamics: Azonotope-based set-membership approach
dc.typeConference lecture
dc.subject.lemacErrors de sistemes (Enginyeria)
dc.subject.lemacVehicles de motor -- Dinàmica
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1109/itsc.2018.8569754
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac23944601
dc.description.versionPostprint (author's final draft)
local.citation.authorPuig, V.
local.citation.contributorInternational IEEE Conference on Intelligent Transportation Systems
local.citation.publicationName21st IEEE International Conference on Intelligent Transportation Systems
local.citation.startingPage1364
local.citation.endingPage1369


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple