Erbet Almeida Costa
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.
Forskning
Publikasjoner
2026
-
Arrais Romero Dias Lima, Fernando;
Almeida Costa, Erbet;
Leblebici, Mumin Enis;
Secchi, Argimiro Resende;
Souza, Maurício B. de;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach.
Control Engineering Practice
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
RTO and advanced process control for electric submersible pumps using surrogate models.
Journal of Process Control
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
Skogestad, Sigurd;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
MAASC — Multi-Agentic Architecture Specialised for Control.
Journal of Process Control
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Caprio, Ulderico Di;
Steen-Hansen, Jenny;
Rodrigues, Bruno;
Almeida Costa, Erbet;
Santos, Anderson Rapello dos;
Esposito, Flora;
Leblebici, Mumin Enis;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network.
Chemical Engineering Journal Advances
Vitenskapelig artikkel
2025
-
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz de;
Reges, Galdir;
de Menezes Rebello, Carine;
Fontana, Marcio;
Ribeiro, Marcos Pellegrini;
Nogueira, Idelfonso B. R.;
Schnitman, Leizer.
(2025)
Standard MPC and Inputs-Target MPC implementation comparison in ESP systems.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz De;
Reges, Galdir;
Viena Santana, Vinicius;
Mendes, Tefilo Paiva Guimares;
Fontana, Marcio;
Bacellar, Francisco Raphael Ribeiro;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira.
(2025)
Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction.
IFAC-PapersOnLine
Vitenskapelig artikkel
2024
-
Almeida Costa, Erbet;
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;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
Almeida Costa, Erbet;
Skogestad, Sigurd;
Nogueira, Idelfonso B. R..
(2024)
NC-SIMC: Neuro-Controller Simple Internal Model Control.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
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
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Viena Santana, Vinicius;
Reges, Galdir;
Silva, Tiago de Oliveira;
Abreu, Odilon Santana Luiz de;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira;
Fontana, Marcio;
Nogueira, Idelfonso B. R..
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel
2023
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Lima, Fernando;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro;
Secchi, Argimiro R.;
Souza, Mauricio;
Nogueira, Idelfonso B. R..
(2023)
Improved modeling of crystallization processes by Universal Differential Equations.
Chemical engineering research & design
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Santana, Vinicius V.;
Almeida Costa, Erbet;
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
-
Arrais Romero Dias Lima, Fernando;
Almeida Costa, Erbet;
Leblebici, Mumin Enis;
Secchi, Argimiro Resende;
Souza, Maurício B. de;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach.
Control Engineering Practice
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
RTO and advanced process control for electric submersible pumps using surrogate models.
Journal of Process Control
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
Skogestad, Sigurd;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
MAASC — Multi-Agentic Architecture Specialised for Control.
Journal of Process Control
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Caprio, Ulderico Di;
Steen-Hansen, Jenny;
Rodrigues, Bruno;
Almeida Costa, Erbet;
Santos, Anderson Rapello dos;
Esposito, Flora;
Leblebici, Mumin Enis;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network.
Chemical Engineering Journal Advances
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz de;
Reges, Galdir;
de Menezes Rebello, Carine;
Fontana, Marcio;
Ribeiro, Marcos Pellegrini;
Nogueira, Idelfonso B. R.;
Schnitman, Leizer.
(2025)
Standard MPC and Inputs-Target MPC implementation comparison in ESP systems.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz De;
Reges, Galdir;
Viena Santana, Vinicius;
Mendes, Tefilo Paiva Guimares;
Fontana, Marcio;
Bacellar, Francisco Raphael Ribeiro;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira.
(2025)
Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
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;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
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
-
Lima, Fernando;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro;
Secchi, Argimiro R.;
Souza, Mauricio;
Nogueira, Idelfonso B. R..
(2023)
Improved modeling of crystallization processes by Universal Differential Equations.
Chemical engineering research & design
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
Skogestad, Sigurd;
Nogueira, Idelfonso B. R..
(2024)
NC-SIMC: Neuro-Controller Simple Internal Model Control.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
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
-
Santana, Vinicius V.;
Almeida Costa, Erbet;
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
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Viena Santana, Vinicius;
Reges, Galdir;
Silva, Tiago de Oliveira;
Abreu, Odilon Santana Luiz de;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira;
Fontana, Marcio;
Nogueira, Idelfonso B. R..
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel