A fast algorithm to assess local structural identifiability. (August 2015)
- Record Type:
- Journal Article
- Title:
- A fast algorithm to assess local structural identifiability. (August 2015)
- Main Title:
- A fast algorithm to assess local structural identifiability
- Authors:
- Stigter, Johannes D.
Molenaar, Jaap - Abstract:
- Abstract: The paper presents a novel method for assessing the local structural identifiability question for a general non-linear state-space model. The method is a combination of (i) the application of a singular value decomposition to a parametric output sensitivity matrix that is created by simply integrating the model once and, (ii) a symbolic computation for a reduced model that is guided by the SVD results and allows a confirmation of the conclusions regarding identifiability obtained in the first step. In case there is a lack of identifiability, the symbolic computation quickly results in determination of the exact structure of the nullspace and a suitable re-parametrisation. The method is discussed in detail and applied to three case studies, of which the last two are considerably large, containing 22 and 43 parameters to be identified, respectively.
- Is Part Of:
- Automatica. Volume 58(2015)
- Journal:
- Automatica
- Issue:
- Volume 58(2015)
- Issue Display:
- Volume 58, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 58
- Issue:
- 2015
- Issue Sort Value:
- 2015-0058-2015-0000
- Page Start:
- 118
- Page End:
- 124
- Publication Date:
- 2015-08
- Subjects:
- Identifiability -- Parameter identification
Automatic control -- Periodicals
Automation -- Periodicals
629.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00051098 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.automatica.2015.05.004 ↗
- Languages:
- English
- ISSNs:
- 0005-1098
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1829.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6447.xml