dc.contributor.author | Suwartadi, Eka | |
dc.contributor.author | Jäschke, Johannes | |
dc.date.accessioned | 2019-03-14T10:22:14Z | |
dc.date.available | 2019-03-14T10:22:14Z | |
dc.date.created | 2018-10-09T14:52:24Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IFAC-PapersOnLine. 2018, 51 (18), 399-404. | nb_NO |
dc.identifier.issn | 2405-8963 | |
dc.identifier.uri | http://hdl.handle.net/11250/2589985 | |
dc.description.abstract | We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for example when path constraints are active for longer periods of the prediction horizon. This is a common situation in economic model predictive control. In such cases, the optimal nonlinear programming (NLP) solution often satisfies the Mangasarian-Fromovitz constraint qualification (MFCQ), which implies non-unique, but bounded multipliers. Consequently, any sensitivity-based fast NMPC scheme must allow for discontinuous jumps in the multipliers. In this paper, we apply a sensitivity-based path-following algorithm that allows multiplier jumps within the advance-step NMPC (asNMPC) framework. The path-following method consists of a corrector and a predictor step, which are computed by solving a system of linear equations, and a quadratic programming problem, respectively, and a multiplier jump step determined by the solution of a linear program. We demonstrate the proposed method on an economic NMPC case study with a CSTR. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | International Federation of Automatic Control (IFAC) | nb_NO |
dc.title | Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 399-404 | nb_NO |
dc.source.volume | 51 | nb_NO |
dc.source.journal | IFAC-PapersOnLine | nb_NO |
dc.source.issue | 18 | nb_NO |
dc.identifier.doi | 10.1016/j.ifacol.2018.09.333 | |
dc.identifier.cristin | 1619083 | |
dc.relation.project | Norges forskningsråd: 239809 | nb_NO |
dc.description.localcode | 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. | nb_NO |
cristin.unitcode | 194,66,30,0 | |
cristin.unitname | Institutt for kjemisk prosessteknologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |