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Jesus Flores-Cerrillo
Jesus Flores-Cerrillo
Director Advanced Digital Technologies, Praxair
Verified email at praxair.com
Title
Cited by
Cited by
Year
Latent variable MPC for trajectory tracking in batch processes
J Flores-Cerrillo, JF MacGregor
Journal of process control 15 (6), 651-663, 2005
1642005
Control of batch product quality by trajectory manipulation using latent variable models
J Flores-Cerrillo, JF MacGregor
Journal of Process Control 14 (5), 539-553, 2004
1402004
Within-batch and batch-to-batch inferential-adaptive control of semibatch reactors: A partial least squares approach
J Flores-Cerrillo, JF MacGregor
Industrial & engineering chemistry research 42 (14), 3334-3345, 2003
1312003
Control of particle size distributions in emulsion semibatch polymerization using mid-course correction policies
J Flores-Cerrillo, JF MacGregor
Industrial & Engineering Chemistry Research 41 (7), 1805-1814, 2002
1292002
Data-based latent variable methods for process analysis, monitoring and control
JF MacGregor, H Yu, SG Muņoz, J Flores-Cerrillo
Computers & chemical engineering 29 (6), 1217-1223, 2005
1282005
Integration of control theory and scheduling methods for supply chain management
K Subramanian, JB Rawlings, CT Maravelias, J Flores-Cerrillo, L Megan
Computers & Chemical Engineering 51, 4-20, 2013
1232013
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
C Tsay, A Kumar, J Flores-Cerrillo, M Baldea
Computers & Chemical Engineering 126, 22-34, 2019
952019
Iterative learning control for final batch product quality using partial least squares models
J Flores-Cerrillo, JF MacGregor
Industrial & engineering chemistry research 44 (24), 9146-9155, 2005
762005
Multivariate monitoring of batch processes using batch‐to‐batch information
J Flores‐Cerrillo, JF MacGregor
AIChE Journal 50 (6), 1219-1228, 2004
712004
Dynamic modeling and collocation‐based model reduction of cryogenic air separation units
Y Cao, CLE Swartz, J Flores‐Cerrillo, J Ma
AIChE Journal 62 (5), 1602-1615, 2016
652016
Optimal dynamic operation of a high-purity air separation plant under varying market conditions
Y Cao, CLE Swartz, J Flores-Cerrillo
Industrial & engineering chemistry research 55 (37), 9956-9970, 2016
532016
Data-driven process monitoring and fault analysis of reformer units in hydrogen plants: Industrial application and perspectives
A Kumar, A Bhattacharya, J Flores-Cerrillo
Computers & Chemical Engineering 136, 106756, 2020
282020
Subspace-based model identification of a hydrogen plant startup dynamics
A Garg, B Corbett, P Mhaskar, G Hu, J Flores-Cerrillo
Computers & Chemical Engineering 106, 183-190, 2017
232017
Preemptive dynamic operation of cryogenic air separation units
Y Cao, CLE Swartz, J Flores‐Cerrillo
AIChE Journal 63 (9), 3845-3859, 2017
222017
Data-driven models and algorithms for demand response scheduling of air separation units
C Tsay, M Baldea, J Shi, A Kumar, J Flores-Cerrillo
Computer Aided Chemical Engineering 44, 1273-1278, 2018
202018
A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process
J Chen, J Yu, J Mori, MM Rashid, G Hu, H Yu, J Flores-Cerrillo, L Megan
Computers & chemical engineering 58, 40-53, 2013
192013
Practical optimization for cost reduction of a liquefier in an industrial air separation plant
Y Cao, J Flores-Cerrillo, CLE Swartz
Computers & Chemical Engineering 99, 13-20, 2017
152017
A data-driven linear formulation of the optimal demand response scheduling problem for an industrial air separation unit
MT Kelley, C Tsay, Y Cao, Y Wang, J Flores-Cerrillo, M Baldea
Chemical Engineering Science 252, 117468, 2022
142022
Latent variable model predictive control for trajectory tracking in batch processes: internal model control interpretation and design methodology
H Yu, J Flores-Cerrillo
Industrial & Engineering Chemistry Research 52 (35), 12437-12450, 2013
142013
Modeling, simulation, and optimization of multiproduct cryogenic air separation unit startup
AWK Quarshie, CLE Swartz, PB Madabhushi, Y Cao, Y Wang, ...
AIChE Journal 69 (2), e17953, 2023
82023
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