Modeling and control of a water gas shift membrane reactor for hydrogen production. - Dimitrios Georgis; Fernando V. Lima; Ali S. Almansoori; Prodromos Daoutidis (ACC, 2012)

Nonlinear model predictive control of IGCC plants with membrane reactors for carbon capture. - Fernando V. Lima; Rishi Amrit; Michael Tsapatsis; Prodromos Daoutidis (ACC, 2013)

Covariance and State Estimation of Weakly Observable Systems: Application to Polymerization Processes. - Fernando V. Lima; Murali R. Rajamani; Tyler A. Soderstrom; James B. Rawlings (IEEE Trans. Control. Syst. Technol., 2013)

Implementation challenges of covariance estimation techniques for an experimental polymerization system. - Franklin D. Rincon; Galo A. C. Le Roux; Fernando V. Lima (ACC, 2014)

An ARX-based technique for steady-state identification of chemical processes. - Franklin D. Rincon; Fernando V. Lima; Galo A. C. Le Roux (ACC, 2015)

A Biologically-Inspired Optimal Control Strategy (BIO-CS) for hybrid energy systems. - Gaurav Mirlekar; Paolo Pezzini; Kenneth Mark Bryden; David Tucker; Fernando V. Lima (ACC, 2017)

An optimization-based operability framework for process design and intensification of modular natural gas utilization systems. - Juan C. Carrasco; Fernando V. Lima (Comput. Chem. Eng., 2017)

A biologically-inspired approach for adaptive control of advanced energy systems. - Gaurav Mirlekar; Ghassan Al-Sinbol; Mario G. Perhinschi; Fernando V. Lima (Comput. Chem. Eng., 2018)

Development and implementation of advanced control strategies for power plant cycling with carbon capture. - Xin He; Fernando V. Lima (Comput. Chem. Eng., 2019)

Operability and biomimetic control of a micro-aerated fermentation process. - Thiago J. B. Mesquita; Gilson Campani; Roberto de Campos Giordano; Marcelo P. A. Ribeiro; Antonio C. L. Horta; Teresa C. Zangirolami; Fernando V. Lima (Comput. Chem. Eng., 2021)

A machine learning-based process operability framework using Gaussian processes. - Victor Alves; Vitor Gazzaneo; Fernando V. Lima (Comput. Chem. Eng., 2022)

Self-stabilizing Economic Nonlinear Model Predictive Control of Modular Membrane Reactor Systems. - San Dinh; Kuan-Han Lin; Fernando V. Lima; Lorenz T. Biegler (ACC, 2023)

State and covariance estimation of a semi-batch reactor for bioprocess applications. - Ronald Alexander; San Dinh; Guilhermina Schultz; Marcelo P. A. Ribeiro; Fernando V. Lima (Comput. Chem. Eng., 2023)

Self-stabilizing economic nonlinear model predictive control applied to modular systems. - San Dinh; Kuan-Han Lin; Fernando V. Lima; Lorenz T. Biegler (Comput. Chem. Eng., 2024)

Machine learning in process systems engineering: Challenges and opportunities. - Prodromos Daoutidis; Jay H. Lee; Srinivas Rangarajan; Leo Chiang; R. Bhushan Gopaluni; Artur M. Schweidtmann; Iiro Harjunkoski; Mehmet Mercangöz; Ali Mesbah 002; Fani Boukouvala; Fernando V. Lima; Ehecatl Antonio del Rio-Chanona; et al. (Comput. Chem. Eng., 2024)

Opyrability: A Python package for process operability analysis. - Victor Alves; San Dinh; John R. Kitchin; Vitor Gazzaneo; Juan C. Carrasco; Fernando V. Lima (J. Open Source Softw., 2024)

Hybrid semi-supervised fault detection framework under limited high-confidence data scenarios. - Selorme Agbleze; Lawrence J. Shadle; Fernando V. Lima (Comput. Chem. Eng., 2025)