| ID:
239856.0,
MPI für Dynamik komplexer technischer Systeme / Physical and Chemical Process Engineering |
| Methods of state estimation for particulate processes |
| Authors: | Mangold, M.; Steyer, C.; Niemann, B.; Voigt, A.; Sundmacher, K. |
| Language: | English |
| Publisher: | Elsevier |
| Place of Publication: | Amsterdam |
| Date of Publication (YYYY-MM-DD): | 2006 |
| Title of Proceedings: | 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering |
| Start Page: | 1191 |
| End Page: | 1196 |
| Name of Conference/Meeting: | ESCAPE16 : European Symposium on Computer Aided Process Engineering |
| Place of Conference/Meeting: | Garmisch-Partenkirchen, Germany |
(Start) Date of Conference/Meeting
(YYYY-MM-DD): | 2006-07-09 |
End Date of Conference/Meeting
(YYYY-MM-DD): | 2006-07-13 |
| Review Status: | Peer-review |
| Audience: | Experts Only |
| Abstract / Description: | Determining property distributions of particles online by measurement is difficult in many cases, especially if the particles are in the nanometre range. An alternative may be state estimation techniques, which use information from process simulations in addition to the measurement signals. Two examples of state estimators for particulate processes are presented in this contribution. The first one is an extended Kalman filter based on a population balance model. The second one is a bootstrap filter based on a Monte Carlo simulation. |
| External Publication Status: | published |
| Document Type: | Conference-Paper |
| Communicated by: | Kai Sundmacher |
| Affiliations: | MPI für Dynamik komplexer technischer Systeme/Physical and Chemical Process Engineering
MPI für Dynamik komplexer technischer Systeme/Process Synthesis and Process Dynamics
|
| External Affiliations: | Otto-von-Guericke-Universität Magdeburg
Fakultät für Verfahrens- und Systemtechnik
Institut für Verfahrenstechnik
Universitätsplatz 2
39106 Magdeburg
|
| Identifiers: | ISBN:0-444-52969-1 |
|
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