Abstract
Information about the location of modeling errors is crucial for the efficient improvement of an invalid model. This article discusses how to pinpoint modeling errors through comparison of experimental data with data obtained through simulation of the invalid model. An observer-based approach is presented. By designing a dedicated observer for the system using the invalid model, a signal vector is generated, on which each modeling error imposes an easily identifiable feature. An algorithm to analyze the featured signal is then presented. With this algorithm, the features of each of the modeling errors are extracted. The approach is illustrated for a denitrification reactor model in which errors in the dimension of the state vector, in the structure of the biokinetic relationship and in the values of the parameters could be identified.
| Original language | English |
|---|---|
| Pages (from-to) | 81-88 |
| Journal | Water Science and Technology |
| Volume | 36 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 4th IAWQ International Symposium on Systems Analysis and Computing in Water Quality Management - Quebec, Can Duration: 17 Jun 1997 → 20 Jun 1997 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Biological denitrification
- Model validation
- Modeling error identification
- Observer
