Zhao, S. orcid.org/0000-0003-3098-8059, Li, Z. and Ding, Z.
(2018)
A revisit to gradient-descent bearing-only formation control.
In:
2018 IEEE 14th International Conference on Control and Automation (ICCA).
2018 IEEE 14th International Conference on Control and Automation (ICCA) , 12-15 Jun 2018, Anchorage, AK, USA .
IEEE
, pp. 710-715.
ISBN 9781538660898
Abstract
This paper addresses the problem of bearing-only formation control of multi-agent systems, where each agent can merely obtain the relative bearing measurements of their neighbor neighbors whereas relative distance or position measurements are unavailable. In particular, we revisit a bearing-only formation control law proposed in [1]. Unlike many other existing ones, this control law is gradient-descent, which is favorable from the stability analysis point of view. It has the potential to be extended to handle more complex agent models and moving target formations. Up to now, this control law has not attracted sufficient attention probably because its stability analysis is based on optimization techniques and challenging to generalize. The contribution of this paper is to present a new stability analysis of this formation control law based on Lyapunov approaches. The new stability analysis reveals some new properties of the control law such as exponential convergence rate and lays a foundation for deriving new bearing-only control laws in the future.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Oct 2018 14:17 |
Last Modified: | 09 Oct 2018 08:35 |
Published Version: | https://doi.org/10.1109/ICCA.2018.8444304 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICCA.2018.8444304 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136689 |