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Implementation of mixed-integer programming on embedded system

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dc.title Implementation of mixed-integer programming on embedded system en
dc.contributor.author Novák, Jakub
dc.contributor.author Chalupa, Petr
dc.relation.ispartof Procedia Engineering
dc.identifier.issn 1876-6102 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1877-7058 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 100
utb.relation.issue C
dc.citation.spage 1649
dc.citation.epage 1656
dc.event.title DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2014
dc.event.location Vienna
utb.event.state-en Austria
utb.event.state-cs Rakousko
dc.event.sdate 2014-11-26
dc.event.edate 2014-11-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Elsevier
dc.identifier.doi 10.1016/j.proeng.2015.01.539
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S1877705815005664
dc.subject Branch-and-bound en
dc.subject Economic dispatch en
dc.subject Embedded system en
dc.subject Mixed-integer quadratic programming en
dc.subject Optimization en
dc.description.abstract One o. The most widespread modern control strategies i. The discrete-time Model Predictive Control (MPC) method which require. The solution o. The quadratic programming problem. For systems with binary input variable. The quadratic problem is replaced by more challenging Mixed-Integer Quadratic Programming (MIQP) problem. The objective of this work i. The implementation of MIQP problem solver in a low power embedded computing platform with limited computational power and limited memory. The MIQP problem is solved using branch-and-bound method an. The solution o. The relaxed original quadratic problems with equality and inequality constraints solved i. The nodes of a binary tree is found with interior-point algorithm. A simulation study o. The reserve constrained economic dispatch problem for power generators with prohibited zones is presented. Simulation results sho. The applicability o. The proposed solver for small size MIQP problems. © 2015 The Authors. Published by Elsevier Ltd. This is an open access article unde. The CC BY-NC-ND license. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004542
utb.identifier.obdid 43872677
utb.identifier.scopus 2-s2.0-84925114498
utb.identifier.scopus 2-s2.0-84937028074
utb.identifier.wok 000380551900205
utb.source d-scopus
dc.date.accessioned 2015-05-28T11:39:16Z
dc.date.available 2015-05-28T11:39:16Z
dc.rights Attribution-NonCommercial-NoDerivs 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Novák, Jakub
utb.contributor.internalauthor Chalupa, Petr
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