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  1. Ansatte

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Erbet Almeida Costa

Last ned pressefoto
Last ned pressefoto
Foto:

Erbet Almeida Costa

Stipendiat
Institutt for kjemisk prosessteknologi

erbet.a.costa@ntnu.no
Kjemiblokk 4 Gløshaugen, Trondheim
ResearchGate Scopus Google Scholar
Om Forskning Publikasjoner Undervisning

Om

Erbet Costa has embarked on his Ph.D. program under the guidance of Assoc. Prof. Idelfonso Nogueira. His research will focus on bridging the gap between traditional control theory and model predictive controllers using artificial intelligence techniques. Erbet aims to develop advanced AI-based control solutions that enhance control systems' robustness, stability, efficiency, and effectiveness.

Kompetanseord

  • Artificial Lift Systems
  • Artificial intelligence
  • Artificial neural netwroks
  • Model Predictive Controllers
  • Modeling
  • PID Controllers
  • Process systems
  • Simulation
  • Uncertainty assessment

Forskning

  • Process Systems Engineering

SUBPRO-Zero

Sustainable Bridge Program towards Zero Emissions.

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Alle publikasjoner i Nasjonalt vitenarkiv (NVA)

2024

  • Costa, Erbet Almeida; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.. (2024) Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Engineering Applications of Artificial Intelligence
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Ribeiro, Lucília S.; Nogueira, Idelfonso B. R.. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel/review
  • Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Vides, Fredy; Nogueira, Idelfonso B. R.. (2024) Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization. Canadian Journal of Chemical Engineering
    Vitenskapelig artikkel
  • Rebello, Carine de Menezes; Costa, Erbet Almeida; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Lima, Patrick Souza; Costa, Erbet Almeida; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Nogueira, Idelfonso Bessa Dos Reis. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine Menezes; Santana, Vinicius Viena; Reges, Galdir; Silva, Tiago de Oliveira; Abreu, Odilon Santana Luiz de. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel

2023

  • Queiroz, Luana P.; Rebello, Carine Menezes; Costa, Erbet Almeida; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.. (2023) Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Lima, Fernando; Rebello, Carine Menezes; Costa, Erbet Almeida; Santana, Vinicius; Moares, Marcellus; Barreto, Amaro. (2023) Improved modeling of crystallization processes by Universal Differential Equations. Chemical engineering research & design
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Santana, Vinicius V.; Costa, Erbet Almeida; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.. (2023) Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. Chemical Engineering Science (CES)
    Vitenskapelig artikkel

Tidsskriftspublikasjoner

  • Costa, Erbet Almeida; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.. (2024) Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Engineering Applications of Artificial Intelligence
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Ribeiro, Lucília S.; Nogueira, Idelfonso B. R.. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel/review
  • Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Vides, Fredy; Nogueira, Idelfonso B. R.. (2024) Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization. Canadian Journal of Chemical Engineering
    Vitenskapelig artikkel
  • Rebello, Carine de Menezes; Costa, Erbet Almeida; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Lima, Patrick Souza; Costa, Erbet Almeida; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Nogueira, Idelfonso Bessa Dos Reis. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine Menezes; Santana, Vinicius Viena; Reges, Galdir; Silva, Tiago de Oliveira; Abreu, Odilon Santana Luiz de. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine Menezes; Costa, Erbet Almeida; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.. (2023) Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Lima, Fernando; Rebello, Carine Menezes; Costa, Erbet Almeida; Santana, Vinicius; Moares, Marcellus; Barreto, Amaro. (2023) Improved modeling of crystallization processes by Universal Differential Equations. Chemical engineering research & design
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Santana, Vinicius V.; Costa, Erbet Almeida; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.. (2023) Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. Chemical Engineering Science (CES)
    Vitenskapelig artikkel

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