dc.creatorLima N.M.N.
dc.creatorLinan L.Z.
dc.creatorManenti F.
dc.creatorFilho R.M.
dc.creatorEmbirucu M.
dc.creatorWolf Maciel M.R.
dc.date2011
dc.date2015-06-30T20:19:05Z
dc.date2015-11-26T14:48:04Z
dc.date2015-06-30T20:19:05Z
dc.date2015-11-26T14:48:04Z
dc.date.accessioned2018-03-28T21:58:45Z
dc.date.available2018-03-28T21:58:45Z
dc.identifier
dc.identifierComputer Aided Chemical Engineering. , v. 29, n. , p. 694 - 697, 2011.
dc.identifier15707946
dc.identifier10.1016/B978-0-444-53711-9.50139-5
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79958776416&partnerID=40&md5=cd5d2615bbcae4949b828669df2d7adf
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/107550
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/107550
dc.identifier2-s2.0-79958776416
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1253498
dc.descriptionThe development and implementation of two multivariable nonlinear fuzzy modelbased adaptive predictive control schemes to a copolymerization process is described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and on-line prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (typical NMPC) for regulatory problem. The obtained results showed the effectiveness of the proposed structures. © 2011 Elsevier B.V.
dc.description29
dc.description
dc.description694
dc.description697
dc.descriptionCongalidis, J.P., Richards, J.R., Ray, W.H., Feedforward and feedback control of a solution copolymerization reactor (1989) AIChE Journal, 35 (6), pp. 891-907
dc.descriptionDougherty, D., Cooper, D., A practical multiple model adaptive strategy for multivariable model predictive control (2003) Control Engineering Practice, 11, pp. 649-664
dc.descriptionLima, N.M.N., Zuñiga Liñan, L., Maciel Filho, R., Embiruçu, M., Wolf Maciel, M.R., Grácio, F., Modeling and predictive control using fuzzy logic: application for a polymerization system (2010) AIChE Journal, 56 (4), pp. 965-978
dc.descriptionLima, N.M.N., Manenti, F., Maciel Filho, R., Embiruçu, M., Wolf Maciel, M.R., Fuzzy model-based predictive hybrid control of polymerization processes (2009) Industrial & Engineering Chemistry Research, 48 (18), pp. 8542-8550
dc.descriptionLima, N.M.N., Maciel Filho, R., Embiruçu, M., Wolf Maciel, M.R., A cognitive approach to develop dynamic models: application to polymerization systems (2007) Journal of Applied Polymer Science, 106, pp. 981-992
dc.descriptionManenti, F., Dones, I., Buzzi-Ferraris, G., Preisig, H.A., Efficient numerical solver for partially structured DAE systems (2009) Industrial & Engineering Chemistry Research, 48 (22), pp. 9979-9984
dc.descriptionTakagi, T., Sugeno, M., Fuzzy identification of systems and its applications to modeling and control (1985) IEEE Transactions on Systems Man. and Cybernetics, 15 (1), pp. 116-133
dc.languageen
dc.publisher
dc.relationComputer Aided Chemical Engineering
dc.rightsfechado
dc.sourceScopus
dc.titleAdaptive Advanced Control Of A Copolymerization System
dc.typeLibros


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