dc.creatorPORFIRIO, C. R.
dc.creatorODLOAK, D.
dc.date.accessioned2012-10-19T01:45:10Z
dc.date.accessioned2018-07-04T14:51:00Z
dc.date.available2012-10-19T01:45:10Z
dc.date.available2018-07-04T14:51:00Z
dc.date.created2012-10-19T01:45:10Z
dc.date.issued2011
dc.identifierCONTROL ENGINEERING PRACTICE, v.19, n.10, p.1137-1146, 2011
dc.identifier0967-0661
dc.identifierhttp://producao.usp.br/handle/BDPI/18508
dc.identifier10.1016/j.conengprac.2011.06.003
dc.identifierhttp://dx.doi.org/10.1016/j.conengprac.2011.06.003
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1615303
dc.description.abstractThe main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost function that includes an additional term related to the economic objective. The optimizing MPC is based on a quadratic program (QP) as the conventional MPC and can be solved with the available QP solvers. The method was implemented in an industrial distillation system, and the results show that the approach is efficient and can be used, in several practical cases. (C) 2011 Elsevier Ltd. All rights reserved.
dc.languageeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relationControl Engineering Practice
dc.rightsCopyright PERGAMON-ELSEVIER SCIENCE LTD
dc.rightsrestrictedAccess
dc.subjectReal-time optimization
dc.subjectModel predictive control
dc.subjectDistillation control
dc.subjectIntegration of control and optimization
dc.subjectProcess optimization
dc.titleOptimizing model predictive control of an industrial distillation column
dc.typeArtículos de revistas


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