Fernando V. Lima

According to our database, Fernando V. Lima authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 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, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis

Comput. Chem. Eng., February, 2024

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., April, 2023

Self-stabilizing Economic Nonlinear Model Predictive Control of Modular Membrane Reactor Systems.

San Dinh, Kuan-Han Lin, Fernando V. Lima, Lorenz T. Biegler

Proceedings of the American Control Conference, 2023

2022

A machine learning-based process operability framework using Gaussian processes.

Victor Alves, Vitor Gazzaneo, Fernando V. Lima

Comput. Chem. Eng., 2022

2021

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

2019

Development and implementation of advanced control strategies for power plant cycling with carbon capture.

Xin He, Fernando V. Lima

Comput. Chem. Eng., 2019

2018

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

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 Optimal Control Strategy (BIO-CS) for hybrid energy systems.

Gaurav Mirlekar, Paolo Pezzini, Kenneth Mark Bryden, David Tucker, Fernando V. Lima

Proceedings of the 2017 American Control Conference, 2017

2015

An ARX-based technique for steady-state identification of chemical processes.

Franklin D. Rincon, Fernando V. Lima, Galo A. C. Le Roux

Proceedings of the American Control Conference, 2015

2014

Implementation challenges of covariance estimation techniques for an experimental polymerization system.

Franklin D. Rincon, Galo A. C. Le Roux, Fernando V. Lima

Proceedings of the American Control Conference, 2014

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

Nonlinear model predictive control of IGCC plants with membrane reactors for carbon capture.

Fernando V. Lima, Rishi Amrit, Michael Tsapatsis, Prodromos Daoutidis

Proceedings of the American Control Conference, 2013

2012

Modeling and control of a water gas shift membrane reactor for hydrogen production.

Dimitrios Georgis, Fernando V. Lima, Ali S. Almansoori, Prodromos Daoutidis

Proceedings of the American Control Conference, 2012