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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
Om 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.

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2024

  • Almeida Costa, Erbet; Skogestad, Sigurd; B. R. Nogueira, Idelfonso. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Santana, Vinicius Viena; B. R. Nogueira, Idelfonso. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Vides, Fredy; B. R. Nogueira, Idelfonso. (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
  • Costa, Erbet Almeida; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; B. R. Nogueira, Idelfonso. (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
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Fontana, Marcio; Schnitman, Leizer; B. R. Nogueira, Idelfonso. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (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; de Oliveira Silva, Tiago; Santana Luiz de Abreu, Odilon. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Ribeiro, Lucília S.; B. R. Nogueira, Idelfonso. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel/review

2023

  • 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
  • Santana, Vinicius V.; Costa, Erbet Almeida; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; B. R. Nogueira, Idelfonso. (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
  • 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
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Santana, Vinicius Viena; B. R. Nogueira, Idelfonso. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel

Tidsskriftspublikasjoner

  • Almeida Costa, Erbet; Skogestad, Sigurd; B. R. Nogueira, Idelfonso. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Santana, Vinicius Viena; B. R. Nogueira, Idelfonso. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Vides, Fredy; B. R. Nogueira, Idelfonso. (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
  • Costa, Erbet Almeida; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; B. R. Nogueira, Idelfonso. (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
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Fontana, Marcio; Schnitman, Leizer; B. R. Nogueira, Idelfonso. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (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; de Oliveira Silva, Tiago; Santana Luiz de Abreu, Odilon. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Ribeiro, Lucília S.; B. R. Nogueira, Idelfonso. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel/review
  • 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
  • Santana, Vinicius V.; Costa, Erbet Almeida; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; B. R. Nogueira, Idelfonso. (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
  • 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
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Santana, Vinicius Viena; B. R. Nogueira, Idelfonso. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel

Undervisning

Emner

  • KP3010 - Introduction to separation processes

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