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ORCIDFernando V. Lima
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Journal Articles
- 2024
[j10]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:
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181: 108523 (2024)- [j9]San Dinh, Kuan-Han Lin, Fernando V. Lima, Lorenz T. Biegler:
Self-stabilizing economic nonlinear model predictive control applied to modular systems. Comput. Chem. Eng. 191: 108825 (2024) - [j8]Victor Alves, San Dinh, John R. Kitchin, Vitor Gazzaneo, Juan C. Carrasco, Fernando V. Lima:
Opyrability: A Python package for process operability analysis. J. Open Source Softw. 9(94): 5966 (2024) - 2023
- [j7]Ronald Alexander, San Dinh, Guilhermina Schultz, Marcelo P. A. Ribeiro, Fernando V. Lima:
State and covariance estimation of a semi-batch reactor for bioprocess applications. Comput. Chem. Eng. 172: 108180 (2023) - 2022
- [j6]Victor Alves, Vitor Gazzaneo, Fernando V. Lima:
A machine learning-based process operability framework using Gaussian processes. Comput. Chem. Eng. 163: 107835 (2022) - 2021
- [j5]Thiago J. B. Mesquita, Gilson Campani, Roberto de Campos Giordano, Marcelo P. A. Ribeiro, Antonio C. L. Horta, Teresa C. Zangirolami, Fernando V. Lima:
Operability and biomimetic control of a micro-aerated fermentation process. Comput. Chem. Eng. 155: 107511 (2021) - 2019
- [j4]Xin He, Fernando V. Lima:
Development and implementation of advanced control strategies for power plant cycling with carbon capture. Comput. Chem. Eng. 121: 497-509 (2019) - 2018
- [j3]Gaurav Mirlekar, Ghassan Al-Sinbol, Mario G. Perhinschi, Fernando V. Lima:
A biologically-inspired approach for adaptive control of advanced energy systems. Comput. Chem. Eng. 117: 378-390 (2018) - 2017
- [j2]Juan C. Carrasco, Fernando V. Lima:
An optimization-based operability framework for process design and intensification of modular natural gas utilization systems. Comput. Chem. Eng. 105: 246-258 (2017) - 2013
- [j1]Fernando V. Lima, Murali R. Rajamani, Tyler A. Soderstrom, James B. Rawlings:
Covariance and State Estimation of Weakly Observable Systems: Application to Polymerization Processes. IEEE Trans. Control. Syst. Technol. 21(4): 1249-1257 (2013)
Conference and Workshop Papers
- 2023
- [c6]San Dinh, Kuan-Han Lin, Fernando V. Lima, Lorenz T. Biegler:
Self-stabilizing Economic Nonlinear Model Predictive Control of Modular Membrane Reactor Systems. ACC 2023: 2621-2626 - 2017
- [c5]Gaurav Mirlekar, Paolo Pezzini, Kenneth Mark Bryden, David Tucker, Fernando V. Lima:
A Biologically-Inspired Optimal Control Strategy (BIO-CS) for hybrid energy systems. ACC 2017: 4821-4826 - 2015
- [c4]Franklin D. Rincon, Fernando V. Lima, Galo A. C. Le Roux:
An ARX-based technique for steady-state identification of chemical processes. ACC 2015: 1113-1118 - 2014
- [c3]Franklin D. Rincon, Galo A. C. Le Roux, Fernando V. Lima:
Implementation challenges of covariance estimation techniques for an experimental polymerization system. ACC 2014: 1743-1748 - 2013
- [c2]Fernando V. Lima, Rishi Amrit, Michael Tsapatsis, Prodromos Daoutidis:
Nonlinear model predictive control of IGCC plants with membrane reactors for carbon capture. ACC 2013: 3747-3752 - 2012
- [c1]Dimitrios Georgis, Fernando V. Lima, Ali S. Almansoori, Prodromos Daoutidis:
Modeling and control of a water gas shift membrane reactor for hydrogen production. ACC 2012: 4287-4292
Coauthor Index
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