2 citations · 3 across the 10 of their papers we have counts for
10 papers
A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control
Idelfonso B. R. Nogueira, Sigurd Skogestad
Recent literature shows that large language models (LLMs) are useful for general-purpose tasks yet perform poorly on specific domain ones. One reason is the difficulty of supplying…
UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction
Robson W. S. Pessoa, Julien Amblard, Alessandra Russo +1
Anomaly detection in batch processes is hindered by transient dynamics, scarce fault labels, and reliance on single-modality sensor data. This work introduces UTOPYA (Unified Tempo…
WISE-FM:Operation-Aware, Engineering-Informed Foundation Model for Multi-Task Well Design
Carine de Menezes Rebello, Anderson Rapello dos Santos, Idelfonso B. R. Nogueira
Deploying machine learning models across diverse well portfolios requires generalisation to wells with design parameters outside the training distribution. Current data-driven appr…
ExPUFFIN: Thermodynamic Consistent Viscosity Prediction in an Extended Path-Unifying Feed-Forward Interfaced Network
Carine Menezes Rebello, Ulderico Di Caprio, Jenny Steen-Hansen +6
Accurate prediction of liquid viscosity is essential for process design and simulation, yet remains challenging for novel molecules. Conventional group-contribution models struggle…
Offset-Free Robust Nonlinear Control Using Data-Driven Model: A Nonlinear Multi-Model Computationally Efficient Approach
Carine Menezes Rebello, Erbet Almeida Costa, Idelfonso B. R. Nogueira
Robust model predictive control (MPC) aims to preserve performance under model-plant mismatch, yet robust formulations for nonlinear MPC (NMPC) with data-driven surrogates remain l…
A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
R. W. S. Pessoa, M. H. Næss, J. C. Bijos +4
This paper presents a hybrid approach to predict the evolution of technological maturity in R and D projects, using the oil and gas sector as an example. Integrating System Dynamic…
Optimizing Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making
Carine Menezes Rebello, Idelfonso B. R. Nogueira
This study presents a methodology for surrogate optimization of cyclic adsorption processes, focusing on enhancing Pressure Swing Adsorption units for carbon dioxide () cap…
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry
Carine Menezes Rebello, Johannes Jäschkea, Idelfonso B. R. Nogueira
The concept of creating a virtual copy of a complete Cyber-Physical System opens up numerous possibilities, including real-time assessments of the physical environment and continuo…
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers
Fredy Vides, Idelfonso B. R. Nogueira, Gabriela Lopez Gutierrez +2
The investigation reported in this document focuses on identifying systems with symmetries using equivariant autoregressive reservoir computers. General results in structured matri…
Dynamic financial processes identification using sparse regressive reservoir computers
Fredy Vides, Idelfonso B. R. Nogueira, Gabriela Lopez Gutierrez +2
In this document, we present key findings in structured matrix approximation theory, with applications to the regressive representation of dynamic financial processes. Initially, w…