Results on distributed state estimation for LTI systems facing communication failures. Issue 2 (2020)
- Record Type:
- Journal Article
- Title:
- Results on distributed state estimation for LTI systems facing communication failures. Issue 2 (2020)
- Main Title:
- Results on distributed state estimation for LTI systems facing communication failures
- Authors:
- del Nozal, A. Rodríguez
Orihuela, L.
Millán, P.
Seuret, A.
Zaccarian, L. - Abstract:
- Abstract: We address distributed estimation of the state of a linear plant by a set of agents. The problem is cast in a setting where the communication capabilities of an agent might be deactivated from time to time, due to failures in the communication devices or malicious attacks. An observer architecture is proposed to achieve our estimation goal, based on a multi-hop subspace decomposition. Uniform exponential convergence to zero of the estimation errors is proven in the presence of communication failures, under a persistence of excitation assumption. Finally, the observer performance is evaluated in simulation, showing the merits of the proposed method and suggesting directions for future developments.
- Is Part Of:
- IFAC-PapersOnLine. Volume 53:Issue 2(2020)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 53:Issue 2(2020)
- Issue Display:
- Volume 53, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 53
- Issue:
- 2
- Issue Sort Value:
- 2020-0053-0002-0000
- Page Start:
- 3248
- Page End:
- 3253
- Publication Date:
- 2020
- Subjects:
- Distributed estimation -- Link failures -- Multi-agent systems -- Linear time-invariant systems -- Switching topologies
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2020.12.1125 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23748.xml