| 1 |
The integration of scheduling and control: Top-down vs. bottom-up
Caspari A, Tsay C, Mhamdi A, Baldea M, Mitsos A
Journal of Process Control, 91, 50, 2020 |
| 2 |
Decomposition of integrated scheduling and dynamic optimization problems using community detection
Mitrai I, Daoutidis P
Journal of Process Control, 90, 63, 2020 |
| 3 |
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
Tsay C, Kumar A, Flores-Cerrillo J, Baldea M
Computers & Chemical Engineering, 126, 22, 2019 |
| 4 |
Production scheduling and linear MPC: Complete integration via complementarity conditions
Simkoff JM, Baldea M
Computers & Chemical Engineering, 125, 287, 2019 |
| 5 |
A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units
Dias LS, Pattison RC, Tsay C, Baldea M, Ierapetritou MG
Computers & Chemical Engineering, 113, 139, 2018 |
| 6 |
An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations
Kelley MT, Pattison RC, Baldick R, Baldea M
Computers & Chemical Engineering, 110, 35, 2018 |
| 7 |
Dynamic models and fault diagnosis-based triggers for closed-loop scheduling
Touretzky CR, Harjunkoski I, Baldea M
AIChE Journal, 63(6), 1959, 2017 |
| 8 |
Optimal combined long-term facility design and short-term operational strategy for CHP capacity investments
Mojica JL, Petersen D, Hansen B, Powell KM, Hedengren JD
Energy, 118, 97, 2017 |
| 9 |
Integration of scheduling and control under uncertainties: Review and challenges
Dias LS, Ierapetritou MG
Chemical Engineering Research & Design, 116, 98, 2016 |
| 10 |
An integrated framework for scheduling and control using fast model predictive control
Zhuge JJ, Ierapetritou MG
AIChE Journal, 61(10), 3304, 2015 |
