| author | = | {R. Paulen and A. Sharma and M. Fikar}, |
| title | = | {Dynamic Real-time Optimization of Batch Membrane Processes using Pontryagin’s Minimum Principle}, |
| booktitle | = | {28th European Symposium on Computer Aided Process Engineering}, |
| year | = | {2018}, |
| pages | = | {1045-1050}, |
| editor | = | {Anton Friedl, Ji\v{r}\'i J. Kleme\v{s}, Stefan Radl, Petar S. Varbanov, Thomas Wallek}, |
| volume | = | {28}, |
| publisher | = | {Elsevier}, |
| annote | = | {This paper studies a dynamic real-time optimization in the context of model-based time-optimal operation of batch processes under parametric model mismatch. A class of batch membrane separation processes is in the scope of the presented applications. In order to tackle the model-mismatch issue, a receding-horizon policy is usually followed with frequent re-optimization. The main problem addressed in this study is high computational burden that is usually required by such schemes. We propose an approach that uses parametrized conditions of optimality in the adaptive predictive-control fashion. The uncertainty in the model predictions is treated explicitly using reachable sets that are projected into the optimality conditions.}, |
| doi | = | {10.1016/B978-0-444-64235-6.50183-2}, |
| url | = | {https://www.uiam.sk/assets/publication_info.php?id_pub=1925} |
}