When distributed formation control is feasible under hard constraints on energy and time?. (January 2022)
- Record Type:
- Journal Article
- Title:
- When distributed formation control is feasible under hard constraints on energy and time?. (January 2022)
- Main Title:
- When distributed formation control is feasible under hard constraints on energy and time?
- Authors:
- Jia, Chunxiang
Chen, Fei
Xiang, Linying
Lan, Weiyao
Feng, Gang - Abstract:
- Abstract: This paper studies distributed optimal formation control with hard constraints on energy levels and termination time, in which the formation error is to be minimized jointly with the energy cost. The main contributions include a globally optimal distributed formation control law and a comprehensive analysis of the resulting closed-loop system under those hard constraints. It is revealed that the energy levels, the task termination time, the steady-state error tolerance, as well as the network topology impose inherent limitations in achieving the formation control mission. Most notably, the lower bounds on the achievable termination time and the required minimum energy levels are derived, which are given in terms of the initial formation error, the steady-state error tolerance, and the largest eigenvalue of the Laplacian matrix. These lower bounds can be employed to assert whether an energy and time constrained formation task is achievable and how to accomplish such a task. Furthermore, the monotonicity of those lower bounds in relation to the control parameters is revealed.
- Is Part Of:
- Automatica. Volume 135(2022)
- Journal:
- Automatica
- Issue:
- Volume 135(2022)
- Issue Display:
- Volume 135, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 135
- Issue:
- 2022
- Issue Sort Value:
- 2022-0135-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Energy constraint -- Time constraint -- Formation control -- Distributed control -- Optimal control -- Multi-agent system
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.2021.109984 ↗
- 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:
- 20103.xml