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dc.contributor.authorMontanez, German
dc.contributor.authorPatino, Diego
dc.contributor.authorMendez, Diego
dc.date.accessioned2019-09-24T11:14:55Z-
dc.date.available2019-09-24T11:14:55Z-
dc.date.issued2015
dc.identifier.citation2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.157-160.en
dc.identifier.isbn978-80-261-0385-1 (Print)
dc.identifier.isbn978-80-261-0386-8 (Online)
dc.identifier.issn1803-7232 (Print)
dc.identifier.issn1805-9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35112
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© University of West Bohemiaen
dc.subjectprediktivní kontrolacs
dc.subjectsespenzecs
dc.subjectoptimalizacecs
dc.subjectinterpolacecs
dc.subjectmatematický modelcs
dc.subjectvýpočetní modelovánícs
dc.titleComparison of model predictive control techniques for active suspensionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper presents the develop and analysis of four control techniques implemented in an embedded system for an active suspension. The three techniques are based on model predictive control (MPC): The MPC off-line interpolation by piecewise affine systems (PWA), MPC neural network interpolation (NN), generalized model predictive control on-line (GMPC) and state space feedback (SSF). Finally, it is possible to reduce the necessary time to compute the control law with interpolating methods.en
dc.subject.translatedpredictive controlen
dc.subject.translatedsuspensionsen
dc.subject.translatedoptimizationen
dc.subject.translatedinterpolationen
dc.subject.translatedmathematical modelen
dc.subject.translatedcomputational modelingen
dc.type.statusPeer-revieweden
Appears in Collections:Applied Electronics 2015
Applied Electronics 2015

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