A structural approach to unknown inputs observation for switching linear systems. (July 2021)
- Record Type:
- Journal Article
- Title:
- A structural approach to unknown inputs observation for switching linear systems. (July 2021)
- Main Title:
- A structural approach to unknown inputs observation for switching linear systems
- Authors:
- Conte, Giuseppe
Perdon, Anna Maria
Zattoni, Elena - Abstract:
- Abstract: The problem of devising an asymptotic observer for a given function of the state of a switching linear system in the presence of unknown inputs is considered. Solvability is studied both in the case of sufficiently large dwell time and in that of dwell time greater than a fixed threshold. A complete characterization of solvability in terms of necessary and sufficient conditions is given in both cases. It is shown that the necessary and sufficient conditions can be checked in practice in the first case and, under slightly more restrictive hypotheses, also in the second case by means of algorithmic procedures, which also provide a method to synthesize the observer sought for. The employed methodology makes use of geometric concepts to reveal the structural aspects of the problem and to derive its solutions. In particular, a key role is played by the novel notion of robust conditioned invariant subspace that is minimal with respect to the properties of containing a given subspace and of being externally stabilizable.
- Is Part Of:
- Automatica. Volume 129(2021)
- Journal:
- Automatica
- Issue:
- Volume 129(2021)
- Issue Display:
- Volume 129, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 129
- Issue:
- 2021
- Issue Sort Value:
- 2021-0129-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07
- Subjects:
- Switching linear systems -- Asymptotic observers -- Unknown-input observers -- Structural methods
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.2021.109572 ↗
- 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:
- 16851.xml