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  • Source: Control Engineering Practice. Unidade: EESC

    Subjects: VEÍCULOS AUTÔNOMOS, CONTROLE (TEORIA DE SISTEMAS E CONTROLE), APRENDIZAGEM PROFUNDA, ALGORITMOS

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    • ABNT

      MORAIS, Gustavo A.P. de et al. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, v. 104, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.conengprac.2020.104630. Acesso em: 19 nov. 2025.
    • APA

      Morais, G. A. P. de, Marcos, L. B., Bueno, J. N. A. D., Resende, N. F. de, Terra, M. H., & Grassi Júnior, V. (2020). Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, 104. doi:10.1016/j.conengprac.2020.104630
    • NLM

      Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2025 nov. 19 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
    • Vancouver

      Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2025 nov. 19 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
  • Source: Control Engineering Practice. Unidade: EP

    Assunto: SISTEMAS DE CONTROLE

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    • ABNT

      ROCHA, Paulo Henrique da et al. Fixed-point DSP implementation of nonlinear Hoo controller for large gap electromagnetic suspension system. Control Engineering Practice, v. 17, n. 10, p. 1148-1156, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2009.04.014. Acesso em: 19 nov. 2025.
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      Rocha, P. H. da, Ferreira, H. C., Porsch, M. C., & Sales, R. M. (2009). Fixed-point DSP implementation of nonlinear Hoo controller for large gap electromagnetic suspension system. Control Engineering Practice, 17( 10), 1148-1156. doi:10.1016/j.conengprac.2009.04.014
    • NLM

      Rocha PH da, Ferreira HC, Porsch MC, Sales RM. Fixed-point DSP implementation of nonlinear Hoo controller for large gap electromagnetic suspension system [Internet]. Control Engineering Practice. 2009 ; 17( 10): 1148-1156.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2009.04.014
    • Vancouver

      Rocha PH da, Ferreira HC, Porsch MC, Sales RM. Fixed-point DSP implementation of nonlinear Hoo controller for large gap electromagnetic suspension system [Internet]. Control Engineering Practice. 2009 ; 17( 10): 1148-1156.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2009.04.014
  • Source: Control Engineering Practice. Unidade: EP

    Subjects: FALHAS COMPUTACIONAIS, SISTEMAS DE MANUFATURAS, REDES DE PETRI, MODELOS MATEMÁTICOS, CONTROLE DE PROCESSOS, SIMULAÇÃO DE SISTEMAS

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    • ABNT

      MIYAGI, Paulo Eigi e MARTÍNEZ RIASCOS, Luis Alberto. Modeling and analysis of fault-tolerant systems for machining operations based on petri nets. Control Engineering Practice, v. 14, n. 4, p. 397-408, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2005.02.002. Acesso em: 19 nov. 2025.
    • APA

      Miyagi, P. E., & Martínez Riascos, L. A. (2006). Modeling and analysis of fault-tolerant systems for machining operations based on petri nets. Control Engineering Practice, 14( 4), 397-408. doi:10.1016/j.conengprac.2005.02.002
    • NLM

      Miyagi PE, Martínez Riascos LA. Modeling and analysis of fault-tolerant systems for machining operations based on petri nets [Internet]. Control Engineering Practice. 2006 ; 14( 4): 397-408.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2005.02.002
    • Vancouver

      Miyagi PE, Martínez Riascos LA. Modeling and analysis of fault-tolerant systems for machining operations based on petri nets [Internet]. Control Engineering Practice. 2006 ; 14( 4): 397-408.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2005.02.002
  • Source: Control Engineering Practice. Unidade: EP

    Subjects: REDES DE PETRI, SISTEMAS DINÂMICOS, SISTEMAS DE CONTROLE, PROGRAMAÇÃO ORIENTADA A OBJETOS, CANA-DE-AÇÚCAR (PRODUÇÃO), MODELOS MATEMÁTICOS

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    • ABNT

      VILLANI, Emília et al. Object oriented approach for cane sugar production: modelling and analysis. Control Engineering Practice, v. 12, p. 1279-1289, 2004Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2004.04.011. Acesso em: 19 nov. 2025.
    • APA

      Villani, E., Pascal, J. C., Miyagi, P. E., & Valette, R. (2004). Object oriented approach for cane sugar production: modelling and analysis. Control Engineering Practice, 12, 1279-1289. doi:10.1016/j.conengprac.2004.04.011
    • NLM

      Villani E, Pascal JC, Miyagi PE, Valette R. Object oriented approach for cane sugar production: modelling and analysis [Internet]. Control Engineering Practice. 2004 ; 12 1279-1289.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2004.04.011
    • Vancouver

      Villani E, Pascal JC, Miyagi PE, Valette R. Object oriented approach for cane sugar production: modelling and analysis [Internet]. Control Engineering Practice. 2004 ; 12 1279-1289.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.conengprac.2004.04.011
  • Source: Control Engineering Practice. Unidade: EP

    Subjects: ENGENHARIA AMBIENTAL, LODO ATIVADO, POLUIÇÃO DA ÁGUA (PREVENÇÃO E CONTROLE), TRATAMENTO DE ÁGUAS RESIDUÁRIAS

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    • ABNT

      ZANABRIA SOTOMAYOR, Oscar Alberto e PARK, Song Won e GARCIA, Claudio. Multivariable identification of an activated sludge process with subspace-based algorithms. Control Engineering Practice, v. 11, p. 962-969, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0967-0661(02)00210-1. Acesso em: 19 nov. 2025.
    • APA

      Zanabria Sotomayor, O. A., Park, S. W., & Garcia, C. (2003). Multivariable identification of an activated sludge process with subspace-based algorithms. Control Engineering Practice, 11, 962-969. doi:10.1016/s0967-0661(02)00210-1
    • NLM

      Zanabria Sotomayor OA, Park SW, Garcia C. Multivariable identification of an activated sludge process with subspace-based algorithms [Internet]. Control Engineering Practice. 2003 ;11 962-969.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/s0967-0661(02)00210-1
    • Vancouver

      Zanabria Sotomayor OA, Park SW, Garcia C. Multivariable identification of an activated sludge process with subspace-based algorithms [Internet]. Control Engineering Practice. 2003 ;11 962-969.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/s0967-0661(02)00210-1
  • Source: Control Engineering Practice. Unidade: EP

    Subjects: CONTROLE DE PROCESSOS (COMPUTADORES), CONTROLE PREDITIVO, MODELOS MATEMÁTICOS, SIMULAÇÃO DE SISTEMAS

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    • ABNT

      PORFÍRIO, Carlos Roberto e ALMEIDA NETO, Euclides e ODLOAK, Darci. Multi-model predictive control of an industrial C3/C4 splitter. Control Engineering Practice, v. 11, n. 7, p. 765-779, 2003Tradução . . Disponível em: https://doi.org/10.1016/S0967-0661(02)00183-1. Acesso em: 19 nov. 2025.
    • APA

      Porfírio, C. R., Almeida Neto, E., & Odloak, D. (2003). Multi-model predictive control of an industrial C3/C4 splitter. Control Engineering Practice, 11( 7), 765-779. doi:10.1016/S0967-0661(02)00183-1
    • NLM

      Porfírio CR, Almeida Neto E, Odloak D. Multi-model predictive control of an industrial C3/C4 splitter [Internet]. Control Engineering Practice. 2003 ; 11( 7): 765-779.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/S0967-0661(02)00183-1
    • Vancouver

      Porfírio CR, Almeida Neto E, Odloak D. Multi-model predictive control of an industrial C3/C4 splitter [Internet]. Control Engineering Practice. 2003 ; 11( 7): 765-779.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/S0967-0661(02)00183-1
  • Source: Control Engineering Practice. Unidade: EP

    Subjects: CONTROLE PREDITIVO, INDÚSTRIA QUÍMICA (OTIMIZAÇÃO)

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    • ABNT

      ZANIN, Antônio Carlos e GOUVÊA, Míriam Tvrzská de e ODLOAK, Darci. Integrating real-time optimization into the model predictive controller of the FCC system. Control Engineering Practice, v. 10, p. 819-831, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0967-0661(02)00033-3. Acesso em: 19 nov. 2025.
    • APA

      Zanin, A. C., Gouvêa, M. T. de, & Odloak, D. (2002). Integrating real-time optimization into the model predictive controller of the FCC system. Control Engineering Practice, 10, 819-831. doi:10.1016/s0967-0661(02)00033-3
    • NLM

      Zanin AC, Gouvêa MT de, Odloak D. Integrating real-time optimization into the model predictive controller of the FCC system [Internet]. Control Engineering Practice. 2002 ; 10 819-831.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/s0967-0661(02)00033-3
    • Vancouver

      Zanin AC, Gouvêa MT de, Odloak D. Integrating real-time optimization into the model predictive controller of the FCC system [Internet]. Control Engineering Practice. 2002 ; 10 819-831.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/s0967-0661(02)00033-3

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