| Economic model predictive control of chemical processes with parameter uncertainty O Santander, A Elkamel, H Budman Computers & Chemical Engineering 95, 10-20, 2016 | 26 | 2016 |
| On the interaction and integration of production planning and (advanced) process control O Santander, CL Betts, EE Archer, M Baldea Computers & Chemical Engineering 133, 106627, 2020 | 18 | 2020 |
| An open source fluid catalytic cracker-fractionator model to support the development and benchmarking of process control, machine learning and operation strategies O Santander, V Kuppuraj, CA Harrison, M Baldea Computers & Chemical Engineering 164, 107900, 2022 | 15 | 2022 |
| Control-aware batch process scheduling O Santander, M Baldea Computers & Chemical Engineering 152, 107360, 2021 | 13 | 2021 |
| Robust economic model predictive control: disturbance rejection, robustness and periodic operation in chemical reactors O Santander, A Elkamel, H Budman Engineering Optimization 51 (5), 896-914, 2019 | 13 | 2019 |
| Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study O Santander, V Kuppuraj, CA Harrison, M Baldea Computers & Chemical Engineering 167, 107977, 2022 | 12 | 2022 |
| Integrated production planning and model predictive control of a fluidized bed catalytic cracking-fractionator unit O Santander, V Kuppuraj, CA Harrison, M Baldea Industrial & Engineering Chemistry Research 62 (6), 2752-2767, 2023 | 8 | 2023 |
| An integrated stochastic deep learning–short-term production scheduling–optimal control framework for general batch processes O Santander, I Giannikopoulos, MA Stadtherr, M Baldea Industrial & Engineering Chemistry Research 62 (5), 2124-2137, 2022 | 7 | 2022 |
| Deep learning model predictive control frameworks: Application to a fluid catalytic cracker–fractionator process O Santander, V Kuppuraj, CA Harrison, M Baldea Industrial & Engineering Chemistry Research 62 (27), 10587-10600, 2023 | 6 | 2023 |
| Deep learning economic model predictive control for refinery operation: A fluid catalytic cracker-fractionator case study O Santander, V Kuppuraj, CA Harrison, M Baldea 2022 26th International Conference on System Theory, Control and Computing …, 2022 | 3 | 2022 |
| A Bayesian approach to improving production planning O Santander, V Kuppuraj, CA Harrison, M Baldea Computers & Chemical Engineering 173, 108226, 2023 | 2 | 2023 |
| Economic Model Predictive Control of Chemical Processes O Santander University of Waterloo, 2015 | 2 | 2015 |
| Stochastic Model Predictive Control With Closed-Loop Model Updating O Santander, M Baldea, TA Soderstrom Industrial & Engineering Chemistry Research 62 (40), 16344-16359, 2023 | 1 | 2023 |
| A machine learning framework for improving refinery production planning O Santander, V Kuppuraj, CA Harrison, M Baldea AIChE Journal 69 (8), e18109, 2023 | 1 | 2023 |
| An integrated deep learning-short term production scheduling-optimal control framework for batch processes O Santander, I Giannikopoulos, M Baldea 2023 American Control Conference (ACC), 4569-4574, 2023 | | 2023 |
| A Rigorous Refinery Dynamic Model for Advanced Process Control and Operational Optimization OS Santander, M Baldea 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| A New Big Data Benchmark Problem: Fluid Catalytic Cracker Under Model Predictive Control OS Santander, M Baldea 2018 AIChE Annual Meeting, 2018 | | 2018 |
Michael BaldeaProfessor, University of Texas at Austin; Editor in Chief, I&ECRBestätigte E-Mail-Adresse bei che.utexas.edu
