| 1 |
Handling sensor faults in economic model predictive control of batch processes
Rashid MM, Patel N, Mhaskar P, Swartz CLE
AIChE Journal, 65(2), 617, 2019 |
| 2 |
Multiscale modeling and control of Kappa number and porosity in a batch-type pulp digester
Choi HK, Kwon JSI
AIChE Journal, 65(6), 2019 |
| 3 |
Bringing new technologies and approaches to the operation and control of chemical process systems
Rawlings JB, Maravelias CT
AIChE Journal, 65(6), 2019 |
| 4 |
Feedback control design using model predictive control formulation and Carleman approximation method
Hashemian N, Armaou A
AIChE Journal, 65(9), 2019 |
| 5 |
Benchmarking stochastic and deterministic MPC: A case study in stationary battery systems
Kumar R, Jalving J, Wenzel MJ, Ellis MJ, ElBsat MN, Drees KH, Zavala VM
AIChE Journal, 65(7), 2019 |
| 6 |
Economic optimization of distributed embedded battery units for large-scale heating, ventilation, and air conditioning applications
Patel NR, Rawlings JB, Ellis MJ, Wenzel MJ, Turney RD
AIChE Journal, 65(7), 2019 |
| 7 |
Koopman Lyapunov-based model predictive control of nonlinear chemical process systems
Narasingam A, Kwon JSI
AIChE Journal, 65(11), 2019 |
| 8 |
Machine learning-based predictive control of nonlinear processes. Part I: Theory
Wu Z, Anh R, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019 |
| 9 |
Machine-learning-based predictive control of nonlinear processes. Part II: Computational implementation
Wu Z, Tran A, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019 |
| 10 |
A flexible air separation process: 2. Optimal operation using economic model predictive control
Caspari A, Offermanns C, Schafer P, Mhamdi A, Mitsos A
AIChE Journal, 65(11), 2019 |
