José A. Romagnoli - researchr alias

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Viewing Publication 1 - 25 from 25

2023

Machine learning-based surrogate models and transfer learning for derivative free optimization of HT-PEM fuel cellsLuis A. Briceno-Mena, Christopher G. Arges, José A. Romagnoli. cce, 171:108159, March 2023. [doi]

Unsupervised learning: Local and global structure preservation in industrial dataEstelle E. Seghers, Luis A. Briceno-Mena, José A. Romagnoli. cce, 178:108378, October 2023. [doi]

2021

2020

Plectonema by artificial neural network and deep reinforcement learningYan Ma, Daniel A. Noreña-Caro, Alexandria J. Adams, Tyler B. Brentzel, José A. Romagnoli, Michael G. Benton. cce, 142:107016, 2020. [doi]

Operation optimization of a cryogenic NGL recovery unit using deep learning based surrogate modelingWenbo Zhu, Jorge Chebeir, José A. Romagnoli. cce, 137:106815, 2020. [doi]

2019

A geometric observer design for a semi-batch free-radical polymerization systemS. D. Salas, José A. Romagnoli, Stefania Tronci, Roberto Baratti. cce, 126:391-402, 2019. [doi]

2015

Topological preservation techniques for nonlinear process monitoringG. Robertson, M.-C. Thomas, José A. Romagnoli. cce, 76:1-16, 2015. [doi]

2014

2013

Options analysis for long-term capacity design and operation of a lignocellulosic biomass refineryP. Sharma, José A. Romagnoli, R. Vlosky. cce, 58:178-202, 2013. [doi]

Strategic value optimization and analysis of multi-product biomass refineries with multiple stakeholder considerationsP. Sharma, R. Vlosky, José A. Romagnoli. cce, 50:105-129, 2013. [doi]

2011

A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimationStefania Tronci, Massimiliano Grosso, Roberto Baratti, José A. Romagnoli. cce, 35(11):2318-2325, 2011. [doi]

A model-based nucleation study of the combined effect of seed properties and cooling rate in cooling crystallizationD. J. Widenski, Ali Abbas, José A. Romagnoli. cce, 35(12):2696-2705, 2011. [doi]

2002

Facilitating process control teaching and learning in a virtual laboratory environmentT. Murphy, Vincent G. Gomes, José A. Romagnoli. caee, 10(2):79-87, 2002. [doi]

2001

Real-time validation of multi-linear model-based control strategies: application to a bench-scale neutralization reactorOmar Galan, José A. Romagnoli, Yaman Arkun, Ahmed Palazoglu. amcc 2001: 2009-2014 [doi]

2000

On the use of gap metric for model selection in multilinear model-based controlOmar Galan, José A. Romagnoli, Yaman Arkun, Ahmet Palazoglu. amcc 2000: 3742-3746 [doi]

1999

Dynamic anti-WindUp for MIMO systemsJ. A. Rodriguez, José A. Romagnoli, Graham C. Goodwin. eucc 1999: 82-84 [doi]

1997

Comments on 'nonlinear black box modeling in system identification: A unified overview'A. A. Safavi, José A. Romagnoli. automatica, 33(6):1197-1198, 1997. [doi]

1995

Variable structure control with a second-order sliding condition: Application to a steam generatorHéctor G. Chiacchiarini, Alfredo C. Desages, José A. Romagnoli, Ahmet Palazoglu. automatica, 31(8):1157-1168, 1995. [doi]

Application of wave-nets to modelling and optimisation of a multidimensional chemical processA. A. Safavi, José A. Romagnoli. icnn 1995: 1724-1728 [doi]

1994

An algorithm for robust pole assignment via polynomial approachJosé L. Figueroa, José A. Romagnoli. tac, 39(4):831-835, 1994. [doi]

1991

Robust characteristic polynomial assignmentH. Rotstein, R. Sanchez Peña, J. Alberto Bandoni, Alfredo C. Desages, José A. Romagnoli. automatica, 27(4):711-715, 1991. [doi]

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