Combined Estimation and Optimal Control of Batch Membrane Processes
AbstractIn this paper, we deal with the model-based time-optimal operation of a batch diafiltration process in the presence of membrane fouling. Membrane fouling poses one of the major problems in the field of membrane processes. We model the fouling behavior and estimate its parameters using various methods. Least-squares, least-squares with a moving horizon, recursive least-squares methods and the extended Kalman filter are applied and discussed for the estimation of the fouling behavior on-line during the process run. Model-based optimal non-linear control coupled with parameter estimation is applied in a simulation case study to show the benefits of the proposed approach. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Jelemenský, M.; Pakšiová, D.; Paulen, R.; Latifi, A.; Fikar, M. Combined Estimation and Optimal Control of Batch Membrane Processes. Processes 2016, 4, 43.
Jelemenský M, Pakšiová D, Paulen R, Latifi A, Fikar M. Combined Estimation and Optimal Control of Batch Membrane Processes. Processes. 2016; 4(4):43.Chicago/Turabian Style
Jelemenský, Martin; Pakšiová, Daniela; Paulen, Radoslav; Latifi, Abderrazak; Fikar, Miroslav. 2016. "Combined Estimation and Optimal Control of Batch Membrane Processes." Processes 4, no. 4: 43.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.