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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: 08 dez. 2025.
APA
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
NLM
Shamaki PB, Odloak D. Hybrid RTO with zone control MPC applied to a Gas-lift system [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/MED48518.2020.9183175
Sarapka, A. S., & Odloak, D. (2020). Distributed MPC strategy with guaranteed stability. In Proceedings. Washington: IEEE. doi:10.1109/MED48518.2020.9183108
NLM
Sarapka AS, Odloak D. Distributed MPC strategy with guaranteed stability [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/MED48518.2020.9183108
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MENEZES, Brenno Castrillon et al. Data-driven real-time estimation and optimization for integrated pre-heat exchange trains and distillate cutpoints in multiple fractionation columns. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding/paper/35b-data-driven-real-time-estimation-and-optimization-integrated-pre-heat-exchange-trains-and. Acesso em: 08 dez. 2025.
APA
Menezes, B. C., Ikarimoto, C. S., Kelly, J. D., & Carrillo Le Roux, G. A. (2018). Data-driven real-time estimation and optimization for integrated pre-heat exchange trains and distillate cutpoints in multiple fractionation columns. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding/paper/35b-data-driven-real-time-estimation-and-optimization-integrated-pre-heat-exchange-trains-and
NLM
Menezes BC, Ikarimoto CS, Kelly JD, Carrillo Le Roux GA. Data-driven real-time estimation and optimization for integrated pre-heat exchange trains and distillate cutpoints in multiple fractionation columns [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding/paper/35b-data-driven-real-time-estimation-and-optimization-integrated-pre-heat-exchange-trains-and
Vancouver
Menezes BC, Ikarimoto CS, Kelly JD, Carrillo Le Roux GA. Data-driven real-time estimation and optimization for integrated pre-heat exchange trains and distillate cutpoints in multiple fractionation columns [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding/paper/35b-data-driven-real-time-estimation-and-optimization-integrated-pre-heat-exchange-trains-and
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ZAMORA, Maria Adelfa Abreu et al. Parameter estimation of a model of advanced oxidation processes. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/86c-parameter-estimation-model-advanced-oxidation-processes. Acesso em: 08 dez. 2025.
APA
Zamora, M. A. A., Prasad, V., Teixeira, A. C. S. C., & Carrillo Le Roux, G. A. (2018). Parameter estimation of a model of advanced oxidation processes. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/86c-parameter-estimation-model-advanced-oxidation-processes
NLM
Zamora MAA, Prasad V, Teixeira ACSC, Carrillo Le Roux GA. Parameter estimation of a model of advanced oxidation processes [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/86c-parameter-estimation-model-advanced-oxidation-processes
Vancouver
Zamora MAA, Prasad V, Teixeira ACSC, Carrillo Le Roux GA. Parameter estimation of a model of advanced oxidation processes [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/86c-parameter-estimation-model-advanced-oxidation-processes
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FRANZOI JUNIOR, Robert Eduard et al. Recent advances and new directions for optimization of production scheduling in crude-oil refineries. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/546g-recent-advances-and-new-directions-optimization-production-scheduling-crude-oil-refineries. Acesso em: 08 dez. 2025.
APA
Franzoi Junior, R. E., Menezes, B. C., Kelly, J. D., & Gut, J. A. W. (2018). Recent advances and new directions for optimization of production scheduling in crude-oil refineries. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/546g-recent-advances-and-new-directions-optimization-production-scheduling-crude-oil-refineries
NLM
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Recent advances and new directions for optimization of production scheduling in crude-oil refineries [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/546g-recent-advances-and-new-directions-optimization-production-scheduling-crude-oil-refineries
Vancouver
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Recent advances and new directions for optimization of production scheduling in crude-oil refineries [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/546g-recent-advances-and-new-directions-optimization-production-scheduling-crude-oil-refineries
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FRANZOI JUNIOR, Robert Eduard et al. Refinery-wide scheduling for optimization of multiple unit-operations in the supply, production, and demand chains in fuels, lubes, asphalts and petrochemicals industries. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/300a-refinery-wide-scheduling-optimization-multiple-unit-operations-supply-production-and-demand. Acesso em: 08 dez. 2025.
APA
Franzoi Junior, R. E., Menezes, B. C., Kelly, J. D., & Gut, J. A. W. (2018). Refinery-wide scheduling for optimization of multiple unit-operations in the supply, production, and demand chains in fuels, lubes, asphalts and petrochemicals industries. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/300a-refinery-wide-scheduling-optimization-multiple-unit-operations-supply-production-and-demand
NLM
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Refinery-wide scheduling for optimization of multiple unit-operations in the supply, production, and demand chains in fuels, lubes, asphalts and petrochemicals industries [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/300a-refinery-wide-scheduling-optimization-multiple-unit-operations-supply-production-and-demand
Vancouver
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Refinery-wide scheduling for optimization of multiple unit-operations in the supply, production, and demand chains in fuels, lubes, asphalts and petrochemicals industries [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/300a-refinery-wide-scheduling-optimization-multiple-unit-operations-supply-production-and-demand
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HEWER, Thiago Lewis Reis et al. Hydrodeoxygenation of guaiacol over Ni and Mo nanoparticles supported on SBA-15 and ?-Al2O3. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/695d-hydrodeoxygenation-guaiacol-over-ni-and-mo-nanoparticles-supported-on-sba-15-and-al2o3. Acesso em: 08 dez. 2025.
APA
Hewer, T. L. R., Lima, R. W. dos S., Giudici, R., Schmal, M., & Alves, R. M. de B. (2018). Hydrodeoxygenation of guaiacol over Ni and Mo nanoparticles supported on SBA-15 and ?-Al2O3. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/695d-hydrodeoxygenation-guaiacol-over-ni-and-mo-nanoparticles-supported-on-sba-15-and-al2o3
NLM
Hewer TLR, Lima RW dos S, Giudici R, Schmal M, Alves RM de B. Hydrodeoxygenation of guaiacol over Ni and Mo nanoparticles supported on SBA-15 and ?-Al2O3 [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/695d-hydrodeoxygenation-guaiacol-over-ni-and-mo-nanoparticles-supported-on-sba-15-and-al2o3
Vancouver
Hewer TLR, Lima RW dos S, Giudici R, Schmal M, Alves RM de B. Hydrodeoxygenation of guaiacol over Ni and Mo nanoparticles supported on SBA-15 and ?-Al2O3 [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/695d-hydrodeoxygenation-guaiacol-over-ni-and-mo-nanoparticles-supported-on-sba-15-and-al2o3
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FRANZOI JUNIOR, Robert Eduard et al. Planuling: a hybrid planning and scheduling optimization to schedule slow and plan fast processes. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/186b-planuling-hybrid-planning-and-scheduling-optimization-schedule-slow-and-plan-fast-processes. Acesso em: 08 dez. 2025.
APA
Franzoi Junior, R. E., Kelly, J. D., Menezes, B. C., & Gut, J. A. W. (2018). Planuling: a hybrid planning and scheduling optimization to schedule slow and plan fast processes. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/186b-planuling-hybrid-planning-and-scheduling-optimization-schedule-slow-and-plan-fast-processes
NLM
Franzoi Junior RE, Kelly JD, Menezes BC, Gut JAW. Planuling: a hybrid planning and scheduling optimization to schedule slow and plan fast processes [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/186b-planuling-hybrid-planning-and-scheduling-optimization-schedule-slow-and-plan-fast-processes
Vancouver
Franzoi Junior RE, Kelly JD, Menezes BC, Gut JAW. Planuling: a hybrid planning and scheduling optimization to schedule slow and plan fast processes [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/186b-planuling-hybrid-planning-and-scheduling-optimization-schedule-slow-and-plan-fast-processes
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FRANZOI JUNIOR, Robert Eduard et al. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling. Acesso em: 08 dez. 2025.
APA
Franzoi Junior, R. E., Menezes, B. C., Kelly, J. D., & Gut, J. A. W. (2018). Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
NLM
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
Vancouver
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
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CARRILLO LE ROUX, Galo Antonio et al. Optimization of PHA production by pseudomonas using 13C-Metabolic flux analysis. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/188ay-optimization-pha-production-pseudomonas-using-13c-metabolic-flux-analysis. Acesso em: 08 dez. 2025.
APA
Carrillo Le Roux, G. A., Oliveira, R. D. de, Novello, V., & Gomez, J. G. C. (2018). Optimization of PHA production by pseudomonas using 13C-Metabolic flux analysis. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/188ay-optimization-pha-production-pseudomonas-using-13c-metabolic-flux-analysis
NLM
Carrillo Le Roux GA, Oliveira RD de, Novello V, Gomez JGC. Optimization of PHA production by pseudomonas using 13C-Metabolic flux analysis [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/188ay-optimization-pha-production-pseudomonas-using-13c-metabolic-flux-analysis
Vancouver
Carrillo Le Roux GA, Oliveira RD de, Novello V, Gomez JGC. Optimization of PHA production by pseudomonas using 13C-Metabolic flux analysis [Internet]. Proceedings. 2018 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/188ay-optimization-pha-production-pseudomonas-using-13c-metabolic-flux-analysis
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FERREIRA, Rafael G e AZZONI, Adriano Rodrigues e FREITAS, Sindélia. Techno-economic analysis of industrial enzyme production using E. coli: the recombinant β-glucosidase case. 2017, Anais.. São Paulo: Sociedade Brasileira de Bioquimica e Biologia Molecular, 2017. Disponível em: http://bbest.org.br/2017/images/Proceedings_RAF3_FVW_04052018.pdf. Acesso em: 08 dez. 2025.
APA
Ferreira, R. G., Azzoni, A. R., & Freitas, S. (2017). Techno-economic analysis of industrial enzyme production using E. coli: the recombinant β-glucosidase case. In Proceedings. São Paulo: Sociedade Brasileira de Bioquimica e Biologia Molecular. Recuperado de http://bbest.org.br/2017/images/Proceedings_RAF3_FVW_04052018.pdf
NLM
Ferreira RG, Azzoni AR, Freitas S. Techno-economic analysis of industrial enzyme production using E. coli: the recombinant β-glucosidase case [Internet]. Proceedings. 2017 ;[citado 2025 dez. 08 ] Available from: http://bbest.org.br/2017/images/Proceedings_RAF3_FVW_04052018.pdf
Vancouver
Ferreira RG, Azzoni AR, Freitas S. Techno-economic analysis of industrial enzyme production using E. coli: the recombinant β-glucosidase case [Internet]. Proceedings. 2017 ;[citado 2025 dez. 08 ] Available from: http://bbest.org.br/2017/images/Proceedings_RAF3_FVW_04052018.pdf
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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: 08 dez. 2025.
APA
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
NLM
Santoro BF, Ferramosca A, Gonzalez AH, Odloak D, Ferramosca A. A zone control strategy for stochastic model predictive control [Internet]. Proceedings. 2016 ;[citado 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/ACC.2016.7526511
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PAULA, Renata Ramos Rodrigues de e GUARDANI, Roberto. Analysis of multivariate statistical methods performance applied to tropospheric ozone level prediction in the Metropolitan Area of São Paulo. 2016, Anais.. New York: AIChE, 2016. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2016/proceeding/paper/254y-analysis-multivariate-statistical-methods-performance-applied-tropospheric-ozone-level. Acesso em: 08 dez. 2025.
APA
Paula, R. R. R. de, & Guardani, R. (2016). Analysis of multivariate statistical methods performance applied to tropospheric ozone level prediction in the Metropolitan Area of São Paulo. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2016/proceeding/paper/254y-analysis-multivariate-statistical-methods-performance-applied-tropospheric-ozone-level
NLM
Paula RRR de, Guardani R. Analysis of multivariate statistical methods performance applied to tropospheric ozone level prediction in the Metropolitan Area of São Paulo [Internet]. Proceedings. 2016 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2016/proceeding/paper/254y-analysis-multivariate-statistical-methods-performance-applied-tropospheric-ozone-level
Vancouver
Paula RRR de, Guardani R. Analysis of multivariate statistical methods performance applied to tropospheric ozone level prediction in the Metropolitan Area of São Paulo [Internet]. Proceedings. 2016 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2016/proceeding/paper/254y-analysis-multivariate-statistical-methods-performance-applied-tropospheric-ozone-level
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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: 08 dez. 2025.
APA
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
NLM
Rincón Cuellar FD, Lima FV, Carrillo Le Roux GA. An ARX-based technique for steady-state identification of chemical processes [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/ACC.2015.7170882
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DINATO, Ricardo Mattos e e KULAY, Luiz Alexandre. The fossilization of the Brazilian electric matrix under the lifecicle assessment perspective. 2015, Anais.. Coimbra: University of Coimbra, 2015. Disponível em: http://www2.dem.uc.pt/CenterIndustrialEcology/2ndWorkshop_docs/Discussion-Forum-Proceedings.pdf. Acesso em: 08 dez. 2025.
APA
Dinato, R. M. e, & Kulay, L. A. (2015). The fossilization of the Brazilian electric matrix under the lifecicle assessment perspective. In Proceedings. Coimbra: University of Coimbra. Recuperado de http://www2.dem.uc.pt/CenterIndustrialEcology/2ndWorkshop_docs/Discussion-Forum-Proceedings.pdf
NLM
Dinato RM e, Kulay LA. The fossilization of the Brazilian electric matrix under the lifecicle assessment perspective [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: http://www2.dem.uc.pt/CenterIndustrialEcology/2ndWorkshop_docs/Discussion-Forum-Proceedings.pdf
Vancouver
Dinato RM e, Kulay LA. The fossilization of the Brazilian electric matrix under the lifecicle assessment perspective [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: http://www2.dem.uc.pt/CenterIndustrialEcology/2ndWorkshop_docs/Discussion-Forum-Proceedings.pdf
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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: 08 dez. 2025.
APA
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
NLM
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 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: http://www.msc-les.org/proceedings/imaaca/2015/IMAACA2015_22.pdf
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MARANGONI, Mariana et al. Potential analysis for biosynthesis of copper nanoparticles using Fungus Hypocrea Lixii Cell Extract. 2015, Anais.. New York: AIChE, 2015. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/656b-potential-analysis-biosynthesis-copper-nanoparticles-using-fungus-hypocrea-lixii-cell-extract. Acesso em: 08 dez. 2025.
APA
Marangoni, M., Eduardo, M. de P., Mendes, M. A., Nascimento, C. A. O. do, & Dias, M. D. (2015). Potential analysis for biosynthesis of copper nanoparticles using Fungus Hypocrea Lixii Cell Extract. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/656b-potential-analysis-biosynthesis-copper-nanoparticles-using-fungus-hypocrea-lixii-cell-extract
NLM
Marangoni M, Eduardo M de P, Mendes MA, Nascimento CAO do, Dias MD. Potential analysis for biosynthesis of copper nanoparticles using Fungus Hypocrea Lixii Cell Extract [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/656b-potential-analysis-biosynthesis-copper-nanoparticles-using-fungus-hypocrea-lixii-cell-extract
Vancouver
Marangoni M, Eduardo M de P, Mendes MA, Nascimento CAO do, Dias MD. Potential analysis for biosynthesis of copper nanoparticles using Fungus Hypocrea Lixii Cell Extract [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/656b-potential-analysis-biosynthesis-copper-nanoparticles-using-fungus-hypocrea-lixii-cell-extract
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CARRILLO LE ROUX, Galo Antonio et al. Development and validation of a reduced-index dynamic model of an industrial high-purity column. 2015, Anais.. New York: AIChE, 2015. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/662b-development-and-validation-reduced-index-dynamic-model-industrial-high-purity-column. Acesso em: 08 dez. 2025.
APA
Carrillo Le Roux, G. A., Vianna Junior, A. dos S., Liporace, F. dos S., Matias, J. O. A., & Ebrahimpour, M. (2015). Development and validation of a reduced-index dynamic model of an industrial high-purity column. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/662b-development-and-validation-reduced-index-dynamic-model-industrial-high-purity-column
NLM
Carrillo Le Roux GA, Vianna Junior A dos S, Liporace F dos S, Matias JOA, Ebrahimpour M. Development and validation of a reduced-index dynamic model of an industrial high-purity column [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/662b-development-and-validation-reduced-index-dynamic-model-industrial-high-purity-column
Vancouver
Carrillo Le Roux GA, Vianna Junior A dos S, Liporace F dos S, Matias JOA, Ebrahimpour M. Development and validation of a reduced-index dynamic model of an industrial high-purity column [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/662b-development-and-validation-reduced-index-dynamic-model-industrial-high-purity-column
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Moisés Teles dos et al. Coupling experiments and computational tools to estimate thermal properties for product design in the fat-based food industry. 2015, Anais.. New York: AIChE, 2015. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/173f-coupling-experiments-and-computational-tools-estimate-thermal-properties-product-design-fat. Acesso em: 08 dez. 2025.
APA
Santos, M. T. dos, Ract, J. N. R., Viana, Í. S., & Carrillo Le Roux, G. A. (2015). Coupling experiments and computational tools to estimate thermal properties for product design in the fat-based food industry. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/173f-coupling-experiments-and-computational-tools-estimate-thermal-properties-product-design-fat
NLM
Santos MT dos, Ract JNR, Viana ÍS, Carrillo Le Roux GA. Coupling experiments and computational tools to estimate thermal properties for product design in the fat-based food industry [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/173f-coupling-experiments-and-computational-tools-estimate-thermal-properties-product-design-fat
Vancouver
Santos MT dos, Ract JNR, Viana ÍS, Carrillo Le Roux GA. Coupling experiments and computational tools to estimate thermal properties for product design in the fat-based food industry [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/173f-coupling-experiments-and-computational-tools-estimate-thermal-properties-product-design-fat
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 08 dez. 2025.
APA
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
NLM
Yamashita AS, Odloak D. Robust compromise optimization tuning technique for MPC [Internet]. Proceedings. 2015 ;[citado 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc