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Comparison of predictive control using Self-Organizing Migrating Algorithm and MATLAB fmincon function

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dc.title Comparison of predictive control using Self-Organizing Migrating Algorithm and MATLAB fmincon function en
dc.contributor.author Macků, Lubomír
dc.contributor.author Sámek, David
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 210
dc.event.title 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
dc.event.location Majorca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2018-07-14
dc.event.edate 2018-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201821002041
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2018/69/matecconf_cscc2018_02041/matecconf_cscc2018_02041.html
dc.description.abstract The aim of this paper is to evaluate the usability of the self-organizing migrating algorithm (SOMA) in a nonlinear system predictive control area. The model predictive control is based on an objective function minimization. Two approaches to model predictive control applied on a nonlinear system are studied here. Firstly, the SOMA was used to minimize the objective function, secondly, the fmicon function included in the MATLAB optimization toolbox was used for the same. The nonlinear system simulated here is an exothermic semi-batch reactor mathematical model based on a real chemical exothermic process. Also the input data used here to simulate the process were obtained from the same real process. Results obtained by the simulation means were than evaluated using suitable criterion which was defined for that purpose and discussed. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008303
utb.identifier.obdid 43879590
utb.identifier.scopus 2-s2.0-85055467742
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:43Z
dc.date.available 2019-01-03T12:31:43Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Macků, Lubomír
utb.contributor.internalauthor Sámek, David
utb.scopus.affiliation Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic
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