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  • Source: Brazilian Journal of Chemical Engineering. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      SANTANA, Daniel D. e MARTINS, Márcio André Fernandes e ODLOAK, Darci. One-layer gradient-based MPC + RTO strategy for unstable processes: a case study of a CSTR system. Brazilian Journal of Chemical Engineering, v. 37, p. 173–188, 2020Tradução . . Disponível em: https://doi.org/10.1007/s43153-020-00018-w. Acesso em: 10 set. 2024.
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      Santana, D. D., Martins, M. A. F., & Odloak, D. (2020). One-layer gradient-based MPC + RTO strategy for unstable processes: a case study of a CSTR system. Brazilian Journal of Chemical Engineering, 37, 173–188. doi:10.1007/s43153-020-00018-w
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      Santana DD, Martins MAF, Odloak D. One-layer gradient-based MPC + RTO strategy for unstable processes: a case study of a CSTR system [Internet]. Brazilian Journal of Chemical Engineering. 2020 ; 37 173–188.[citado 2024 set. 10 ] Available from: https://doi.org/10.1007/s43153-020-00018-w
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      Santana DD, Martins MAF, Odloak D. One-layer gradient-based MPC + RTO strategy for unstable processes: a case study of a CSTR system [Internet]. Brazilian Journal of Chemical Engineering. 2020 ; 37 173–188.[citado 2024 set. 10 ] Available from: https://doi.org/10.1007/s43153-020-00018-w
  • Source: Systems & Control Letters. Unidade: EP

    Subjects: POLIMERIZAÇÃO, SISTEMAS LINEARES

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      SANTANA, Daniel D e MARTINS, Márcio André Fernandes e ODLOAK, Darci. An efficient cooperative-distributed model predictive controller with stability and feasibility guarantees for constrained linear systems. Systems & Control Letters, v. 141, p. 1−11, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.sysconle.2020.104701. Acesso em: 10 set. 2024.
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      Santana, D. D., Martins, M. A. F., & Odloak, D. (2020). An efficient cooperative-distributed model predictive controller with stability and feasibility guarantees for constrained linear systems. Systems & Control Letters, 141, 1−11. doi:10.1016/j.sysconle.2020.104701
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      Santana DD, Martins MAF, Odloak D. An efficient cooperative-distributed model predictive controller with stability and feasibility guarantees for constrained linear systems [Internet]. Systems & Control Letters. 2020 ; 141 1−11.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.sysconle.2020.104701
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      Santana DD, Martins MAF, Odloak D. An efficient cooperative-distributed model predictive controller with stability and feasibility guarantees for constrained linear systems [Internet]. Systems & Control Letters. 2020 ; 141 1−11.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.sysconle.2020.104701
  • Source: Proceedings. Conference titles: Mediterranean Conference on Control and Automation (MED). Unidade: EP

    Subjects: CONTROLE PREDITIVO, CONTROLE DE PROCESSOS, TEMPO-REAL

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      SHAMAKI, Patience Bello e ODLOAK, Darci. Hybrid RTO with zone control MPC applied to a Gas-lift system. 2020, Anais.. Washington: IEEE, 2020. Disponível em: https://doi.org/10.1109/MED48518.2020.9183175. Acesso em: 10 set. 2024.
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      Shamaki, P. B., & Odloak, D. (2020). Hybrid RTO with zone control MPC applied to a Gas-lift system. In Proceedings. Washington: IEEE. doi:10.1109/MED48518.2020.9183175
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      Shamaki PB, Odloak D. Hybrid RTO with zone control MPC applied to a Gas-lift system [Internet]. Proceedings. 2020 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/MED48518.2020.9183175
    • Vancouver

      Shamaki PB, Odloak D. Hybrid RTO with zone control MPC applied to a Gas-lift system [Internet]. Proceedings. 2020 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/MED48518.2020.9183175
  • Source: Proceedings. Conference titles: Mediterranean Conference on Control and Automation (MED). Unidade: EP

    Subjects: CONTROLE PREDITIVO, CONTROLE DE PROCESSOS

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      SARAPKA, Alexandre Sanioto e ODLOAK, Darci. Distributed MPC strategy with guaranteed stability. 2020, Anais.. Washington: IEEE, 2020. Disponível em: https://doi.org/10.1109/MED48518.2020.9183108. Acesso em: 10 set. 2024.
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      Sarapka, A. S., & Odloak, D. (2020). Distributed MPC strategy with guaranteed stability. In Proceedings. Washington: IEEE. doi:10.1109/MED48518.2020.9183108
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      Sarapka AS, Odloak D. Distributed MPC strategy with guaranteed stability [Internet]. Proceedings. 2020 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/MED48518.2020.9183108
    • Vancouver

      Sarapka AS, Odloak D. Distributed MPC strategy with guaranteed stability [Internet]. Proceedings. 2020 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/MED48518.2020.9183108
  • Source: Industrial & Engineering Chemistry Research. Unidade: EP

    Subjects: TEMPO-REAL, CONTROLE PREDITIVO

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      FONTES, Raony M. e MARTINS, Márcio André Fernandes e ODLOAK, Darci. An automatic tuning method for model predictive control strategies. Industrial & Engineering Chemistry Research, v. 58, p. 21602−21613, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.iecr.9b03502. Acesso em: 10 set. 2024.
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      Fontes, R. M., Martins, M. A. F., & Odloak, D. (2019). An automatic tuning method for model predictive control strategies. Industrial & Engineering Chemistry Research, 58, 21602−21613. doi:10.1021/acs.iecr.9b03502
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      Fontes RM, Martins MAF, Odloak D. An automatic tuning method for model predictive control strategies [Internet]. Industrial & Engineering Chemistry Research. 2019 ; 58 21602−21613.[citado 2024 set. 10 ] Available from: https://doi.org/10.1021/acs.iecr.9b03502
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      Fontes RM, Martins MAF, Odloak D. An automatic tuning method for model predictive control strategies [Internet]. Industrial & Engineering Chemistry Research. 2019 ; 58 21602−21613.[citado 2024 set. 10 ] Available from: https://doi.org/10.1021/acs.iecr.9b03502
  • Source: Brazilian Journal of Chemical Engineering. Unidade: EP

    Subjects: TEMPO-REAL, CONTROLE PREDITIVO

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      MARTIN, Paulo Alexandre e ZANIN, Antônio Carlos e ODLOAK, Darci. Integrating real time optimization and model predictive control of a crude distillation unit. Brazilian Journal of Chemical Engineering, v. 36, n. 3, 2019Tradução . . Disponível em: https://doi.org/10.1590/0104-6632.20190363s20170578. Acesso em: 10 set. 2024.
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      Martin, P. A., Zanin, A. C., & Odloak, D. (2019). Integrating real time optimization and model predictive control of a crude distillation unit. Brazilian Journal of Chemical Engineering, 36( 3). doi:10.1590/0104-6632.20190363s20170578
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      Martin PA, Zanin AC, Odloak D. Integrating real time optimization and model predictive control of a crude distillation unit [Internet]. Brazilian Journal of Chemical Engineering. 2019 ; 36( 3):[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/0104-6632.20190363s20170578
    • Vancouver

      Martin PA, Zanin AC, Odloak D. Integrating real time optimization and model predictive control of a crude distillation unit [Internet]. Brazilian Journal of Chemical Engineering. 2019 ; 36( 3):[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/0104-6632.20190363s20170578
  • Source: Journal of Process Control. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      CAPRON, Bruno Didier Olivier e ODLOAK, Darci. A robust LQR-MPC control strategy with input constraints and control zones. Journal of Process Control, v. 64, p. 89-99, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jprocont.2018.02.008. Acesso em: 10 set. 2024.
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      Capron, B. D. O., & Odloak, D. (2018). A robust LQR-MPC control strategy with input constraints and control zones. Journal of Process Control, 64, 89-99. doi:10.1016/j.jprocont.2018.02.008
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      Capron BDO, Odloak D. A robust LQR-MPC control strategy with input constraints and control zones [Internet]. Journal of Process Control. 2018 ; 64 89-99.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.jprocont.2018.02.008
    • Vancouver

      Capron BDO, Odloak D. A robust LQR-MPC control strategy with input constraints and control zones [Internet]. Journal of Process Control. 2018 ; 64 89-99.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.jprocont.2018.02.008
  • Source: Chemical Engineering & Technology. Unidade: EP

    Assunto: CRISTALIZAÇÃO

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      SILVA, André Luiz Nunis da e SECKLER, Marcelo Martins e ODLOAK, Darci. Application of model predictive control to a continuous multiple-effect crystallizer. Chemical Engineering & Technology, v. 41, n. 7, p. 1406-1416, 2018Tradução . . Disponível em: https://doi.org/10.1002/ceat.201800031. Acesso em: 10 set. 2024.
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      Silva, A. L. N. da, Seckler, M. M., & Odloak, D. (2018). Application of model predictive control to a continuous multiple-effect crystallizer. Chemical Engineering & Technology, 41( 7), 1406-1416. doi:10.1002/ceat.201800031
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      Silva ALN da, Seckler MM, Odloak D. Application of model predictive control to a continuous multiple-effect crystallizer [Internet]. Chemical Engineering & Technology. 2018 ; 41( 7): 1406-1416.[citado 2024 set. 10 ] Available from: https://doi.org/10.1002/ceat.201800031
    • Vancouver

      Silva ALN da, Seckler MM, Odloak D. Application of model predictive control to a continuous multiple-effect crystallizer [Internet]. Chemical Engineering & Technology. 2018 ; 41( 7): 1406-1416.[citado 2024 set. 10 ] Available from: https://doi.org/10.1002/ceat.201800031
  • Source: Frontiers of Engineering Management. Unidade: EP

    Assunto: INDÚSTRIA PETROQUÍMICA

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      JOLY, Marcel et al. Refinery production scheduling toward industry 4.0. Frontiers of Engineering Management, v. 5, n. 2, p. 202-213, 2018Tradução . . Disponível em: https://doi.org/10.15302/J-FEM-2017024. Acesso em: 10 set. 2024.
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      Joly, M., Odloak, D., Miyake, M. Y., Menezes, B. C., & Kelly, J. D. (2018). Refinery production scheduling toward industry 4.0. Frontiers of Engineering Management, 5( 2), 202-213. doi:10.15302/J-FEM-2017024
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      Joly M, Odloak D, Miyake MY, Menezes BC, Kelly JD. Refinery production scheduling toward industry 4.0 [Internet]. Frontiers of Engineering Management. 2018 ; 5( 2): 202-213.[citado 2024 set. 10 ] Available from: https://doi.org/10.15302/J-FEM-2017024
    • Vancouver

      Joly M, Odloak D, Miyake MY, Menezes BC, Kelly JD. Refinery production scheduling toward industry 4.0 [Internet]. Frontiers of Engineering Management. 2018 ; 5( 2): 202-213.[citado 2024 set. 10 ] Available from: https://doi.org/10.15302/J-FEM-2017024
  • Source: Computers and Chemical Engineering. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      HINOJOSA CALVO, Aldo Ignacio et al. One-layer gradient-based MPC + RTO of a propylene/propane splitter. Computers and Chemical Engineering, v. 106, p. 160-170, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compchemeng.2017.06.006. Acesso em: 10 set. 2024.
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      Hinojosa Calvo, A. I., Ferramosca, A., Gonzalez, A. H., & Odloak, D. (2017). One-layer gradient-based MPC + RTO of a propylene/propane splitter. Computers and Chemical Engineering, 106, 160-170. doi:10.1016/j.compchemeng.2017.06.006
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      Hinojosa Calvo AI, Ferramosca A, Gonzalez AH, Odloak D. One-layer gradient-based MPC + RTO of a propylene/propane splitter [Internet]. Computers and Chemical Engineering. 2017 ; 106 160-170.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2017.06.006
    • Vancouver

      Hinojosa Calvo AI, Ferramosca A, Gonzalez AH, Odloak D. One-layer gradient-based MPC + RTO of a propylene/propane splitter [Internet]. Computers and Chemical Engineering. 2017 ; 106 160-170.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2017.06.006
  • Source: Control Engineering Practice. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      YAMASHITA, Andre Shigueo et al. Reference trajectory tuning of model predictive control. Control Engineering Practice, v. 50, p. 1-11, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2016.02.003. Acesso em: 10 set. 2024.
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      Yamashita, A. S., Martin, P. A., Zanin, A. C., & Odloak, D. (2016). Reference trajectory tuning of model predictive control. Control Engineering Practice, 50, 1-11. doi:10.1016/j.conengprac.2016.02.003
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      Yamashita AS, Martin PA, Zanin AC, Odloak D. Reference trajectory tuning of model predictive control [Internet]. Control Engineering Practice. 2016 ; 50 1-11.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.conengprac.2016.02.003
    • Vancouver

      Yamashita AS, Martin PA, Zanin AC, Odloak D. Reference trajectory tuning of model predictive control [Internet]. Control Engineering Practice. 2016 ; 50 1-11.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.conengprac.2016.02.003
  • Source: Computers & Chemical Engineering. Unidades: EP, FSP

    Subjects: SÍNDROME DE IMUNODEFICIÊNCIA ADQUIRIDA, PREVENÇÃO DE DOENÇAS, NUTRIÇÃO

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      JOLY, Marcel e ODLOAK, Darci e RONDÓ, Patrícia Helen de Carvalho. Human immunomodulation and initial HIV spread. Computers & Chemical Engineering, v. 84, n. Ja 2016, p. 255-280, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compchemeng.2015.09.004. Acesso em: 10 set. 2024.
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      Joly, M., Odloak, D., & Rondó, P. H. de C. (2016). Human immunomodulation and initial HIV spread. Computers & Chemical Engineering, 84( Ja 2016), 255-280. doi:10.1016/j.compchemeng.2015.09.004
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      Joly M, Odloak D, Rondó PH de C. Human immunomodulation and initial HIV spread [Internet]. Computers & Chemical Engineering. 2016 ; 84( Ja 2016): 255-280.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2015.09.004
    • Vancouver

      Joly M, Odloak D, Rondó PH de C. Human immunomodulation and initial HIV spread [Internet]. Computers & Chemical Engineering. 2016 ; 84( Ja 2016): 255-280.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2015.09.004
  • Source: Proceedings. Conference titles: American Control Conference (ACC). Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      SANTORO, Bruno Faccini et al. A zone control strategy for stochastic model predictive control. 2016, Anais.. Washington: IEEE, 2016. Disponível em: https://doi.org/10.1109/ACC.2016.7526511. Acesso em: 10 set. 2024.
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      Santoro, B. F., Ferramosca, A., Gonzalez, A. H., Odloak, D., & Ferramosca, A. (2016). A zone control strategy for stochastic model predictive control. In Proceedings. Washington: IEEE. doi:10.1109/ACC.2016.7526511
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      Santoro BF, Ferramosca A, Gonzalez AH, Odloak D, Ferramosca A. A zone control strategy for stochastic model predictive control [Internet]. Proceedings. 2016 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/ACC.2016.7526511
    • Vancouver

      Santoro BF, Ferramosca A, Gonzalez AH, Odloak D, Ferramosca A. A zone control strategy for stochastic model predictive control [Internet]. Proceedings. 2016 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1109/ACC.2016.7526511
  • Source: Brazilian Journal of Chemical Engineering. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      YAMASHITA, Andre Shigueo e ZANIN, Antônio Carlos e ODLOAK, Darci. Tuning the model predictive control with multi-objective optimization. Brazilian Journal of Chemical Engineering, v. 33, n. 2, p. 333-346, 2016Tradução . . Disponível em: https://doi.org/10.1590/0104-6632.20160332s20140212. Acesso em: 10 set. 2024.
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      Yamashita, A. S., Zanin, A. C., & Odloak, D. (2016). Tuning the model predictive control with multi-objective optimization. Brazilian Journal of Chemical Engineering, 33( 2), 333-346. doi:10.1590/0104-6632.20160332s20140212
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      Yamashita AS, Zanin AC, Odloak D. Tuning the model predictive control with multi-objective optimization [Internet]. Brazilian Journal of Chemical Engineering. 2016 ; 33( 2): 333-346.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/0104-6632.20160332s20140212
    • Vancouver

      Yamashita AS, Zanin AC, Odloak D. Tuning the model predictive control with multi-objective optimization [Internet]. Brazilian Journal of Chemical Engineering. 2016 ; 33( 2): 333-346.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/0104-6632.20160332s20140212
  • Source: Automatica. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      MARTINS, Márcio André Fernandes e ODLOAK, Darci. A robustly stabilizing model predictive control strategy of stable and unstable processes. Automatica, v. 67, p. 132-143 , 2016Tradução . . Disponível em: https://doi.org/10.1016/j.automatica.2016.01.046. Acesso em: 10 set. 2024.
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      Martins, M. A. F., & Odloak, D. (2016). A robustly stabilizing model predictive control strategy of stable and unstable processes. Automatica, 67, 132-143 . doi:10.1016/j.automatica.2016.01.046
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      Martins MAF, Odloak D. A robustly stabilizing model predictive control strategy of stable and unstable processes [Internet]. Automatica. 2016 ; 67 132-143 .[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.automatica.2016.01.046
    • Vancouver

      Martins MAF, Odloak D. A robustly stabilizing model predictive control strategy of stable and unstable processes [Internet]. Automatica. 2016 ; 67 132-143 .[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.automatica.2016.01.046
  • Source: Journal of Process Control. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      CAPRON, Bruno Didier Olivier e ODLOAK, Darci. An extended Linear Quadratic Regulator with zone control and input targets. Journal of Process Control, v. 29, p. 33-44, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.jprocont.2015.03.005. Acesso em: 10 set. 2024.
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      Capron, B. D. O., & Odloak, D. (2015). An extended Linear Quadratic Regulator with zone control and input targets. Journal of Process Control, 29, 33-44. doi:10.1016/j.jprocont.2015.03.005
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      Capron BDO, Odloak D. An extended Linear Quadratic Regulator with zone control and input targets [Internet]. Journal of Process Control. 2015 ; 29 33-44.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.jprocont.2015.03.005
    • Vancouver

      Capron BDO, Odloak D. An extended Linear Quadratic Regulator with zone control and input targets [Internet]. Journal of Process Control. 2015 ; 29 33-44.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.jprocont.2015.03.005
  • Source: Proceedings. Conference titles: International Conference on Integrated Modeling and Analysis in Applied Control and Automation. Unidade: EP

    Subjects: CONTROLE PREDITIVO, CONTROLE (TEORIA DE SISTEMAS E CONTROLE), MODELOS NÃO LINEARES

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      YAMASHITA, Andre Shigueo et al. Application of an infinite horizon MPC to a nonlinear open-loop unstable reactor system. 2015, Anais.. New York: Curran Associates, 2015. Disponível em: http://www.msc-les.org/proceedings/imaaca/2015/IMAACA2015_22.pdf. Acesso em: 10 set. 2024.
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      Yamashita, A. S., Santoro, B. F., Martins, M. A. F., & Odloak, D. (2015). Application of an infinite horizon MPC to a nonlinear open-loop unstable reactor system. In Proceedings. New York: Curran Associates. Recuperado de http://www.msc-les.org/proceedings/imaaca/2015/IMAACA2015_22.pdf
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      Yamashita AS, Santoro BF, Martins MAF, Odloak D. Application of an infinite horizon MPC to a nonlinear open-loop unstable reactor system [Internet]. Proceedings. 2015 ;[citado 2024 set. 10 ] Available from: http://www.msc-les.org/proceedings/imaaca/2015/IMAACA2015_22.pdf
    • Vancouver

      Yamashita AS, Santoro BF, Martins MAF, Odloak D. Application of an infinite horizon MPC to a nonlinear open-loop unstable reactor system [Internet]. Proceedings. 2015 ;[citado 2024 set. 10 ] Available from: http://www.msc-les.org/proceedings/imaaca/2015/IMAACA2015_22.pdf
  • Source: Proceedings. Conference titles: AIChE Annual Meeting. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      YAMASHITA, Andre Shigueo e ODLOAK, Darci. Robust compromise optimization tuning technique for MPC. 2015, Anais.. New York: AIChE, 2015. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc. Acesso em: 10 set. 2024.
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      Yamashita, A. S., & Odloak, D. (2015). Robust compromise optimization tuning technique for MPC. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc
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      Yamashita AS, Odloak D. Robust compromise optimization tuning technique for MPC [Internet]. Proceedings. 2015 ;[citado 2024 set. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc
    • Vancouver

      Yamashita AS, Odloak D. Robust compromise optimization tuning technique for MPC [Internet]. Proceedings. 2015 ;[citado 2024 set. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc
  • Source: Computers & Chemical Engineering. Unidades: EP, FSP

    Subjects: SAÚDE PÚBLICA, PROGRAMAÇÃO LINEAR, SÍNDROME DE IMUNODEFICIÊNCIA ADQUIRIDA

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      JOLY, Marcel et al. Combine operations research with molecular biology to stretch pharmacogenomics and personalized medicine: a case study on HIV/AIDS. Computers & Chemical Engineering, v. 80, p. 114-129, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compchemeng.2015.05.017. Acesso em: 10 set. 2024.
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      Joly, M., Pinto, J. M., Rondó, P. H. de C., Rodrigues, R., Ferreira, J. L. P., Cavalcanti, J. S., et al. (2015). Combine operations research with molecular biology to stretch pharmacogenomics and personalized medicine: a case study on HIV/AIDS. Computers & Chemical Engineering, 80, 114-129. doi:10.1016/j.compchemeng.2015.05.017
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      Joly M, Pinto JM, Rondó PH de C, Rodrigues R, Ferreira JLP, Cavalcanti JS, Brigido LFM, Odloak D. Combine operations research with molecular biology to stretch pharmacogenomics and personalized medicine: a case study on HIV/AIDS [Internet]. Computers & Chemical Engineering. 2015 ; 80 114-129.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2015.05.017
    • Vancouver

      Joly M, Pinto JM, Rondó PH de C, Rodrigues R, Ferreira JLP, Cavalcanti JS, Brigido LFM, Odloak D. Combine operations research with molecular biology to stretch pharmacogenomics and personalized medicine: a case study on HIV/AIDS [Internet]. Computers & Chemical Engineering. 2015 ; 80 114-129.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.compchemeng.2015.05.017
  • Source: Systems & Control Letters. Unidade: EP

    Assunto: CONTROLE PREDITIVO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GONZALEZ, Alejandro Hernan et al. Model predictive control suitable for closed-loop re-identification. Systems & Control Letters, v. 69, p. 23-33, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.sysconle.2014.03.007. Acesso em: 10 set. 2024.
    • APA

      Gonzalez, A. H., Ferramosca, A., Bustos, G. A., Marchetti, J. L., Fiacchini, M., & Odloak, D. (2014). Model predictive control suitable for closed-loop re-identification. Systems & Control Letters, 69, 23-33. doi:10.1016/j.sysconle.2014.03.007
    • NLM

      Gonzalez AH, Ferramosca A, Bustos GA, Marchetti JL, Fiacchini M, Odloak D. Model predictive control suitable for closed-loop re-identification [Internet]. Systems & Control Letters. 2014 ; 69 23-33.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.sysconle.2014.03.007
    • Vancouver

      Gonzalez AH, Ferramosca A, Bustos GA, Marchetti JL, Fiacchini M, Odloak D. Model predictive control suitable for closed-loop re-identification [Internet]. Systems & Control Letters. 2014 ; 69 23-33.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.sysconle.2014.03.007

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