1 |
110th Anniversary: Integration of Scheduling and Robust Model Predictive Control Dias LS, Ierapetritou MG Industrial & Engineering Chemistry Research, 59(1), 265, 2020 |
2 |
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 |
3 |
Review of the important challenges and opportunities related to modeling of mammalian cell bioreactors Farzan P, Mistry B, Ierapetritou MG AIChE Journal, 63(2), 398, 2017 |
4 |
Integrated model of refining and petrochemical plant for enterprise-wide optimization Zhao H, Ierapetritou MG, Shah NK, Rong G Computers & Chemical Engineering, 97, 194, 2017 |
5 |
Integrated modeling to capture the interaction of physiology and fluid dynamics in biopharmaceutical bioreactors Farzan P, Ierapetritou MG Computers & Chemical Engineering, 97, 271, 2017 |
6 |
From process control to supply chain management: An overview of integrated decision making strategies Dias LS, Ierapetritou MG Computers & Chemical Engineering, 106, 826, 2017 |
7 |
An Integrated Framework for Scheduling and Control Using Fast Model Predictive Control (vol 61, pg 3304, 2015) Dias LS, Zhuge JJ, Ierapetritou MG AIChE Journal, 62(10), 3822, 2016 |
8 |
Integration of scheduling and control under uncertainties: Review and challenges Dias LS, Ierapetritou MG Chemical Engineering Research & Design, 116, 98, 2016 |
9 |
Production planning optimization of an ethylene plant considering process operation and energy utilization Zhao H, Ierapetritou MG, Rong G Computers & Chemical Engineering, 87, 1, 2016 |
10 |
A Decomposition Approach for the Solution of Scheduling Including Process Dynamics of Continuous Processes Zhuge JJ, Ierapetritou MG Industrial & Engineering Chemistry Research, 55(5), 1266, 2016 |