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dc.title | MIMO model predictive control with local linear models | en |
dc.contributor.author | Novák, Jakub | |
dc.contributor.author | Chalupa, Petr | |
dc.contributor.author | Bobál, Vladimír | |
dc.relation.ispartof | Recent Researches in Automatic Control - 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11 | |
dc.identifier.isbn | 978-1-61804-004-6 | |
dc.date.issued | 2011 | |
dc.citation.spage | 189 | |
dc.citation.epage | 194 | |
dc.event.title | 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11 | |
dc.event.location | Lanzarote, Canary Islands | |
utb.event.state-en | Spain | |
utb.event.state-cs | Španělsko | |
dc.event.sdate | 2011-05-27 | |
dc.event.edate | 2011-05-29 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.relation.uri | http://www.wseas.us/e-library/conferences/2011/Lanzarote/ACMOS/ACMOS-35.pdf | |
dc.subject | Linearization | en |
dc.subject | Local model networks | en |
dc.subject | Multiple models | en |
dc.subject | pH neutralization | en |
dc.subject | Predictive control | en |
dc.description.abstract | The performance of a Model Predictive Control (MPC) algorithm depends on the quality of the derived model. Using a divide-and-conquer strategy process operations were partitioned into several operating regions and within each region, a local linear model was developed to model the process. This set of locally linearized models was simply and effectively combined into a global description of a multivariable nonlinear plant. To save on computational load, a linear model was obtained by interpolating these linear models at each sample point and then this linearized model was used in a Generalized Predictive Control (GPC) framework to calculate the future behavior of the process. Thus, time-consuming nonlinear quadratic optimization calculations, which are normally necessary in nonlinear predictive control, can be avoided. Modeling and controller design procedure was demonstrated using a simulated pH neutralization process with two inputs and two outputs. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1004762 | |
utb.identifier.obdid | 43865508 | |
utb.identifier.scopus | 2-s2.0-82555178549 | |
utb.source | d-scopus | |
dc.date.accessioned | 2015-06-04T12:55:21Z | |
dc.date.available | 2015-06-04T12:55:21Z | |
utb.contributor.internalauthor | Novák, Jakub | |
utb.contributor.internalauthor | Chalupa, Petr | |
utb.contributor.internalauthor | Bobál, Vladimír |