Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method. - Idelfonso B. R. Nogueira; Ana M. Ribeiro; Alírio E. Rodrigues; José M. Loureiro (Comput. Chem. Eng., 2016)

Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime. - Idelfonso B. R. Nogueira; Ana M. Ribeiro; Alírio E. Rodrigues; José M. Loureiro (Comput. Chem. Eng., 2017)

A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes. - Idelfonso B. R. Nogueira; Ana M. Ribeiro; Reiner Requião; Karen V. Pontes; Hannu Koivisto; Alírio E. Rodrigues; José M. Loureiro (Appl. Soft Comput., 2018)

Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination. - Idelfonso B. R. Nogueira; Rui P. V. Faria; Reiner Requião; Hannu Koivisto; Márcio A. F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro (Comput. Chem. Eng., 2018)

Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization. - Idelfonso B. R. Nogueira; Márcio A. F. Martins; Reiner Requião; Amanda R. Oliveira; Vinícius Viena; Hannu Koivisto; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro (Comput. Ind. Eng., 2019)

Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant. - Joana Matos; Rui P. V. Faria; Idelfonso B. R. Nogueira; José M. Loureiro; Ana M. Ribeiro (Comput. Chem. Eng., 2019)

Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination. - Idelfonso B. R. Nogueira; Rui P. V. Faria; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro (Comput. Chem. Eng., 2019)

Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate. - Vinícius Viena; Márcio A. F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira (Comput. Chem. Eng., 2020)

Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach. - Vinícius V. Santana; Márcio A. F. Martins; José M. Loureiro; Ana M. Ribeiro; Alírio E. Rodrigues; Idelfonso B. R. Nogueira (Comput. Chem. Eng., 2021)

A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit. - Paulo H. Marrocos; Igor G. I. Iwakiri; Márcio A. F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira (Appl. Soft Comput., 2022)

A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC. - Teófilo P. G. Mendes; Leizer Schnitman; Idelfonso Bessa dos Reis Nogueira; Ana Mafalda Almeida Peixoto Ribeiro; Alírio Egídio Rodrigues; José Miguel Loureiro; Márcio A. F. Martins (Expert Syst. Appl., 2022)

Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. - Erbet Almeida Costa; Carine Menezes Rebello; Leizer Schnitman; José Miguel Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira (Eng. Appl. Artif. Intell., 2024)