dc.contributor.author | Grancharova, Alexandra Ivanova | |
dc.contributor.author | Johansen, Tor Arne | |
dc.contributor.author | Olaru, Sorin | |
dc.date.accessioned | 2019-01-08T12:14:06Z | |
dc.date.available | 2019-01-08T12:14:06Z | |
dc.date.created | 2018-12-04T13:22:22Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Journal of Chemical Technology and Metallurgy. 2018, 53 (4), 674-682. | nb_NO |
dc.identifier.issn | 1314-7471 | |
dc.identifier.uri | http://hdl.handle.net/11250/2579688 | |
dc.description.abstract | In this paper, a dual-mode distributed Model Predictive Control (MPC) approach is proposed in order to reduce the on-line computational complexity of the distributed optimal control of nonlinear interconnected systems. It consists in using a nonlinear distributed MPC approach when the state variables of the overall system are far from the origin and applying a linear distributed MPC method in a neighborhood of the origin. The nonlinear distributed approach is based on first-principles (nonlinear) models of the interconnected systems dynamics. It includes a sequential linearization of these models and finding distributedly a suboptimal solution of the resulting quadratic programming problem. In order to apply the linear distributed MPC method, it is necessary first to obtain a linearized model of the overall nonlinear system in a neighborhood of the origin. The benefit of the suggested dual-mode distributed MPC approach is the reduced complexity of the on-line computations in comparison to the entirely nonlinear approach when the current overall system state is in a neighborhood of the origin. The proposed method is illustrated with simulations on the model of a quadruple-tank system | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | University of Chemical Technology and Metallurgy | nb_NO |
dc.title | Dual-mode distributed Model Predictive Control of a quadruple-tank system | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 674-682 | nb_NO |
dc.source.volume | 53 | nb_NO |
dc.source.journal | Journal of Chemical Technology and Metallurgy | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.cristin | 1638959 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2018 by University of Chemical Technology and Metallurgy | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 0 | |