Finite horizon discrete models for multi-agent control systems with coupled dynamics. (May 2020)
- Record Type:
- Journal Article
- Title:
- Finite horizon discrete models for multi-agent control systems with coupled dynamics. (May 2020)
- Main Title:
- Finite horizon discrete models for multi-agent control systems with coupled dynamics
- Authors:
- Boskos, Dimitris
Dimarogonas, Dimos V. - Abstract:
- Abstract: The goal of this paper is to obtain online abstractions for coupled multi-agent systems in a decentralized manner. A discrete model which captures the motion capabilities of each agent is derived over a bounded time-horizon, by discretizing a corresponding overapproximation of the agent's reachable states. The individual abstractions' composition provides a correct representation of the coupled continuous system over the horizon and renders the approach appropriate for control synthesis under high-level specifications which are assigned to the agents over this time window. Sufficient conditions are also provided for the space and time discretization to guarantee the derivation of deterministic abstractions with tunable transition capabilities.
- Is Part Of:
- Automatica. Volume 115(2020)
- Journal:
- Automatica
- Issue:
- Volume 115(2020)
- Issue Display:
- Volume 115, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 115
- Issue:
- 2020
- Issue Sort Value:
- 2020-0115-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Hybrid systems -- Multi-agent systems -- Transition systems
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.2020.108838 ↗
- 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:
- 15487.xml