dc.contributor.author | Du, Jingjing | |
dc.contributor.author | Johansen, Tor Arne | |
dc.date.accessioned | 2018-01-02T14:52:06Z | |
dc.date.available | 2018-01-02T14:52:06Z | |
dc.date.created | 2017-12-16T21:27:11Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Journal of Process Control. 2017, 57, 127-139. | nb_NO |
dc.identifier.issn | 0959-1524 | |
dc.identifier.uri | http://hdl.handle.net/11250/2474150 | |
dc.description.abstract | A control-relevant nonlinearity measure (CRNM) method is proposed based on the gap metric and the gap metric stability margin to measure the nonlinear degree of a system once a linear control strategy is selected. Supported by the CRNM method, an integrated multi-model control framework is developed, in which the multi-model decomposition and local controller design are closely integrated, model redundancy is avoided, computational load is reduced, and dependency on a prior knowledge is reduced. Besides, a 1/δ gap-based weighting method is put forward to combine the local controllers. On one hand, the 1/δ gap-based weighting method has merely one tuning parameter and can be computed off-line; on the other hand, it is sensitive to the tuning parameter, flexible and easy to tune. Two continuous stirred tank reactor (CSTR) systems are investigated. Closed-loop simulations validate the effectiveness and benefits of the proposed integrated multi-model control approach based on CRNM. | 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 | Control-relevant nonlinearity measure and integrated multi-model control | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 127-139 | nb_NO |
dc.source.volume | 57 | nb_NO |
dc.source.journal | Journal of Process Control | nb_NO |
dc.identifier.doi | 10.1016/j.jprocont.2017.07.001 | |
dc.identifier.cristin | 1528425 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | © 2017 Elsevier Ltd. All rights reserved. This is the authors' accepted and refereed manuscript to the article, locked until 24 July 2019 due to copyright restrictions. | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |