dc.contributor.author | Binder, Benjamin Julian Tømte | |
dc.contributor.author | Johansen, Tor Arne | |
dc.contributor.author | Imsland, Lars Struen | |
dc.date.accessioned | 2019-11-25T11:08:44Z | |
dc.date.available | 2019-11-25T11:08:44Z | |
dc.date.created | 2019-04-10T09:47:48Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Journal of Process Control. 2019, 86-106. | nb_NO |
dc.identifier.issn | 0959-1524 | |
dc.identifier.uri | http://hdl.handle.net/11250/2630226 | |
dc.description.abstract | Measured disturbances are often included in model predictive control (MPC) formulations to obtain better predictions of the future behavior of the controlled system, and thus improve the control performance. In the prediction model, a measured disturbance is in many ways treated like a control input to the system. However, while control inputs change only once per sampling interval as new control inputs are calculated, measured disturbances are typically sampled from continuous variables. While this difference is usually neglected, it is shown in this paper that taking this difference into account may improve the control performance. This is demonstrated through two simulation studies, including a realistic multivariable control problem from the petroleum industry. The proposed method requires only a minor modification in the implementation of the prediction model, and may thus improve the control performance with a minimal effort. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Improved predictions from measured disturbances in linear model predictive control | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 86-106 | nb_NO |
dc.source.journal | Journal of Process Control | nb_NO |
dc.identifier.doi | 10.1016/j.jprocont.2019.01.007 | |
dc.identifier.cristin | 1691285 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | © 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 28.1.2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |