Name
Title | ||
|---|---|---|
NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty. |
Abstract | ||
|---|---|---|
•A newly-proposed PMP-method is utilized for solving shrinking horizon NMPC problems of constrained semi-batch processes.•The computationally demanding matrix factorizations for large prediction horizons can be replaced by the recursion of the co-states with PMP.•PMP-based NMPC is found to be faster than the DSM-based NMPC, especially in the beginning of the batch.•9% increase in the desired product and 26% reduction in the batch time is achieved with the closed-loop operation using PMP-based NMPC. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compchemeng.2017.08.010 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Nonlinear model predictive control,Indirect optimization methods,Indirect adjoining,Semi-batch processes,Pontryagin’s Minimum Principle | Mathematical optimization,Optimal control,Direct methods,Control theory,Matrix (mathematics),Model predictive control,Pontryagin's minimum principle,Control engineering,Minimum principle,Simultaneous optimization,Nonlinear model,Mathematics | Journal |
Volume | ISSN | Citations |
108 | 0098-1354 | 1 |
PageRank | References | Authors |
0.37 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erdal Aydin | 1 | 2 | 0.72 |
| Dominique Bonvin | 2 | 133 | 23.58 |
| Kai Sundmacher | 3 | 49 | 12.51 |