| Latent variable MPC for trajectory tracking in batch processes J Flores-Cerrillo, JF MacGregor Journal of process control 15 (6), 651-663, 2005 | 169 | 2005 |
| 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 | 144 | 2004 |
| 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 | 134 | 2002 |
| 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 | 133 | 2005 |
| 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 | 132 | 2003 |
| 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 | 131 | 2013 |
| 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 | 108 | 2019 |
| 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 | 82 | 2005 |
| Multivariate monitoring of batch processes using batch‐to‐batch information J Flores‐Cerrillo, JF MacGregor AIChE Journal 50 (6), 1219-1228, 2004 | 73 | 2004 |
| 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 | 67 | 2016 |
| 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 | 59 | 2016 |
| 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 | 32 | 2020 |
| 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 | 24 | 2017 |
| Preemptive dynamic operation of cryogenic air separation units Y Cao, CLE Swartz, J Flores‐Cerrillo AIChE Journal 63 (9), 3845-3859, 2017 | 22 | 2017 |
| 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 | 21 | 2018 |
| 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 | 21 | 2013 |
| 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 | 18 | 2022 |
| 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 | 16 | 2017 |
| 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 | 14 | 2013 |
| A smart manufacturing strategy for multiparametric model predictive control in air separation systems D Kenefake, I Pappas, S Avraamidou, B Beykal, HS Ganesh, Y Cao, ... Journal of Advanced Manufacturing and Processing 4 (4), e10120, 2022 | 11 | 2022 |
John MacGregorChairman, ProSensus Inc.; Professor Emeritus, McMaster University; Chairman, Prosensus, Inc.Verified email at prosensus.ca
