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  • 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1109/MED48518.2020.9183108
  • 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2016.7526511
  • Source: Proceedings. Conference titles: American Control Conference - ACC. Unidade: EP

    Assunto: PROCESSOS QUÍMICOS

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      RINCÓN CUELLAR, Franklin David e LIMA, Fernando V e CARRILLO LE ROUX, Galo Antonio. An ARX-based technique for steady-state identification of chemical processes. 2015, Anais.. New York: IEEE, 2015. Disponível em: https://doi.org/10.1109/ACC.2015.7170882. Acesso em: 03 nov. 2024.
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      Rincón Cuellar, F. D., Lima, F. V., & Carrillo Le Roux, G. A. (2015). An ARX-based technique for steady-state identification of chemical processes. In Proceedings. New York: IEEE. doi:10.1109/ACC.2015.7170882
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      Rincón Cuellar FD, Lima FV, Carrillo Le Roux GA. An ARX-based technique for steady-state identification of chemical processes [Internet]. Proceedings. 2015 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2015.7170882
    • Vancouver

      Rincón Cuellar FD, Lima FV, Carrillo Le Roux GA. An ARX-based technique for steady-state identification of chemical processes [Internet]. Proceedings. 2015 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2015.7170882
  • Source: Proceedings. Conference titles: American Control Conference - ACC. Unidade: EP

    Assunto: POLIMERIZAÇÃO

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      RINCÓN CUELLAR, Franklin David e CARRILLO LE ROUX, Galo Antonio e LIMA, Fernando V. Implementation challenges of covariance estimation techniques for an experimental polymerization system. 2014, Anais.. New York: IEEE, 2014. Disponível em: https://doi.org/10.1109/ACC.2014.6859057. Acesso em: 03 nov. 2024.
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      Rincón Cuellar, F. D., Carrillo Le Roux, G. A., & Lima, F. V. (2014). Implementation challenges of covariance estimation techniques for an experimental polymerization system. In Proceedings. New York: IEEE. doi:10.1109/ACC.2014.6859057
    • NLM

      Rincón Cuellar FD, Carrillo Le Roux GA, Lima FV. Implementation challenges of covariance estimation techniques for an experimental polymerization system [Internet]. Proceedings. 2014 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2014.6859057
    • Vancouver

      Rincón Cuellar FD, Carrillo Le Roux GA, Lima FV. Implementation challenges of covariance estimation techniques for an experimental polymerization system [Internet]. Proceedings. 2014 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2014.6859057
  • Source: Proceedings. Conference titles: European Control Conference - ECC. Unidade: EP

    Subjects: CONTROLE PREDITIVO, TEMPO-REAL

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      LIMON, Daniel et al. Integrating the RTO in the MPC: an adaptive gradient-based approach. 2013, Anais.. New York: IEEE, 2013. Disponível em: https://doi.org/10.23919/ECC.2013.6669820. Acesso em: 03 nov. 2024.
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      Limon, D., Álamo, T., Pereira, M., Ferramosca, A., Gonzalez, A. H., & Odloak, D. (2013). Integrating the RTO in the MPC: an adaptive gradient-based approach. In Proceedings. New York: IEEE. doi:10.23919/ECC.2013.6669820
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      Limon D, Álamo T, Pereira M, Ferramosca A, Gonzalez AH, Odloak D. Integrating the RTO in the MPC: an adaptive gradient-based approach [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.23919/ECC.2013.6669820
    • Vancouver

      Limon D, Álamo T, Pereira M, Ferramosca A, Gonzalez AH, Odloak D. Integrating the RTO in the MPC: an adaptive gradient-based approach [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.23919/ECC.2013.6669820
  • Source: Proceedings. Conference titles: American Control Conference - ACC. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      GONZALEZ, Alejandro Hernan et al. Model predictive control suitable for closed-loop re-identification. 2013, Anais.. New York: IEEE, 2013. Disponível em: https://doi.org/10.1109/ACC.2013.6580082. Acesso em: 03 nov. 2024.
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      Gonzalez, A. H., Ferramosca, A., Bustos, G. A., Marchetti, J. L., & Odloak, D. (2013). Model predictive control suitable for closed-loop re-identification. In Proceedings. New York: IEEE. doi:10.1109/ACC.2013.6580082
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      Gonzalez AH, Ferramosca A, Bustos GA, Marchetti JL, Odloak D. Model predictive control suitable for closed-loop re-identification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2013.6580082
    • Vancouver

      Gonzalez AH, Ferramosca A, Bustos GA, Marchetti JL, Odloak D. Model predictive control suitable for closed-loop re-identification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ACC.2013.6580082
  • Source: Proceedings. Conference titles: Asian Control Conference - ASCC. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      MARTINS, Márcio André Fernandes e ODLOAK, Darci. Infinite horizon MPC applied to an industrial FCC converter. 2013, Anais.. New York: IEEE, 2013. Disponível em: https://doi.org/10.1109/ASCC.2013.6606022. Acesso em: 03 nov. 2024.
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      Martins, M. A. F., & Odloak, D. (2013). Infinite horizon MPC applied to an industrial FCC converter. In Proceedings. New York: IEEE. doi:10.1109/ASCC.2013.6606022
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      Martins MAF, Odloak D. Infinite horizon MPC applied to an industrial FCC converter [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ASCC.2013.6606022
    • Vancouver

      Martins MAF, Odloak D. Infinite horizon MPC applied to an industrial FCC converter [Internet]. Proceedings. 2013 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ASCC.2013.6606022
  • Source: Proceedings. Conference titles: IEEE Conference on Decision and Control. Unidade: EP

    Assunto: CONTROLE PREDITIVO

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      FERRAMOSCA, Antonio et al. MPC for tracking target sets. 2009, Anais.. Shanghai: IEEE, 2009. Disponível em: https://doi.org/10.1109/CDC.2009.5399881. Acesso em: 03 nov. 2024.
    • APA

      Ferramosca, A., Limon, D., Gonzalez, A. H., Odloak, D., & Camacho, E. F. (2009). MPC for tracking target sets. In Proceedings. Shanghai: IEEE. doi:10.1109/CDC.2009.5399881
    • NLM

      Ferramosca A, Limon D, Gonzalez AH, Odloak D, Camacho EF. MPC for tracking target sets [Internet]. Proceedings. 2009 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/CDC.2009.5399881
    • Vancouver

      Ferramosca A, Limon D, Gonzalez AH, Odloak D, Camacho EF. MPC for tracking target sets [Internet]. Proceedings. 2009 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/CDC.2009.5399881
  • Source: WCCI 2008 ; IJCNN 2008 ; FUZZ-IEEE 2008 ; CEC 2008 : proceedings.. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EP

    Subjects: BASES DE DADOS, CALDEIRAS, CELULOSE SULFATO (PRODUÇÃO), INTELIGÊNCIA ARTIFICIAL, PROCESSOS QUÍMICOS (TECNOLOGIA DE CELULOSE E PAPEL), REDES NEURAIS

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      ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. 2008, Anais.. Piscataway: IEEE, 2008. . Acesso em: 03 nov. 2024.
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      Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2008). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. In WCCI 2008 ; IJCNN 2008 ; FUZZ-IEEE 2008 ; CEC 2008 : proceedings.. Piscataway: IEEE.
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      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. WCCI 2008 ; IJCNN 2008 ; FUZZ-IEEE 2008 ; CEC 2008 : proceedings. 2008 ;[citado 2024 nov. 03 ]
    • Vancouver

      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. WCCI 2008 ; IJCNN 2008 ; FUZZ-IEEE 2008 ; CEC 2008 : proceedings. 2008 ;[citado 2024 nov. 03 ]
  • Source: Proceedings. Conference titles: IEEE International Conference on Control Applications. Unidade: EP

    Subjects: POLUIÇÃO DA ÁGUA, CONTROLE ÓTIMO, LODO ATIVADO

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      ZANABRIA SOTOMAYOR, Oscar Alberto e PARK, Song Won e GARCIA, Claudio. Subspace-based optimal control of N-removal activated sludge plants. 2001, Anais.. New Jersey: IEEE, 2001. Disponível em: https://doi.org/10.1109/CCA.2001.973931. Acesso em: 03 nov. 2024.
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      Zanabria Sotomayor, O. A., Park, S. W., & Garcia, C. (2001). Subspace-based optimal control of N-removal activated sludge plants. In Proceedings. New Jersey: IEEE. doi:10.1109/CCA.2001.973931
    • NLM

      Zanabria Sotomayor OA, Park SW, Garcia C. Subspace-based optimal control of N-removal activated sludge plants [Internet]. Proceedings. 2001 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/CCA.2001.973931
    • Vancouver

      Zanabria Sotomayor OA, Park SW, Garcia C. Subspace-based optimal control of N-removal activated sludge plants [Internet]. Proceedings. 2001 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/CCA.2001.973931

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