On a hierarchical control strategy for multi-agent formation without reflection
(2019) 57th IEEE Conference on Decision and Control, CDC 2018 p.2023-2028- Abstract
This paper considers a formation shape control problem for point agents in a two-dimensional ambient space, where the control is distributed, is based on achieving desired distances between nominated agent pairs, and avoids the possibility of reflection ambiguities. This has potential applications for large-scale multi-agent systems having simple information exchange structure. One solution to this type of problem, applicable to formations with just three or four agents, was recently given by considering a potential function which consists of both distance error and signed triangle area terms. However, it seems to be challenging to apply it to formations with more than four agents. This paper shows a hierarchical control strategy which... (More)
This paper considers a formation shape control problem for point agents in a two-dimensional ambient space, where the control is distributed, is based on achieving desired distances between nominated agent pairs, and avoids the possibility of reflection ambiguities. This has potential applications for large-scale multi-agent systems having simple information exchange structure. One solution to this type of problem, applicable to formations with just three or four agents, was recently given by considering a potential function which consists of both distance error and signed triangle area terms. However, it seems to be challenging to apply it to formations with more than four agents. This paper shows a hierarchical control strategy which can be applicable to any number of agents based on the above type of potential function and a formation shaping incorporating a grouping of equilateral triangles, so that all controlled distances are in fact the same. A key analytical result and some numerical results are shown to demonstrate the effectiveness of the proposed method.
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- author
- Sugie, Toshiharu ; Anderson, Brian D.O. ; Sun, Zhiyong LU and Dong, Huichao
- organization
- publishing date
- 2019-01-21
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2018 IEEE Conference on Decision and Control, CDC 2018
- article number
- 8619404
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 57th IEEE Conference on Decision and Control, CDC 2018
- conference location
- Miami, United States
- conference dates
- 2018-12-17 - 2018-12-19
- external identifiers
-
- scopus:85062190851
- ISBN
- 9781538613955
- DOI
- 10.1109/CDC.2018.8619404
- language
- English
- LU publication?
- yes
- id
- af2968bd-f75f-46fa-bafe-9f01a38d826b
- date added to LUP
- 2019-03-11 13:12:16
- date last changed
- 2022-04-25 21:37:07
@inproceedings{af2968bd-f75f-46fa-bafe-9f01a38d826b,
abstract = {{<p>This paper considers a formation shape control problem for point agents in a two-dimensional ambient space, where the control is distributed, is based on achieving desired distances between nominated agent pairs, and avoids the possibility of reflection ambiguities. This has potential applications for large-scale multi-agent systems having simple information exchange structure. One solution to this type of problem, applicable to formations with just three or four agents, was recently given by considering a potential function which consists of both distance error and signed triangle area terms. However, it seems to be challenging to apply it to formations with more than four agents. This paper shows a hierarchical control strategy which can be applicable to any number of agents based on the above type of potential function and a formation shaping incorporating a grouping of equilateral triangles, so that all controlled distances are in fact the same. A key analytical result and some numerical results are shown to demonstrate the effectiveness of the proposed method.</p>}},
author = {{Sugie, Toshiharu and Anderson, Brian D.O. and Sun, Zhiyong and Dong, Huichao}},
booktitle = {{2018 IEEE Conference on Decision and Control, CDC 2018}},
isbn = {{9781538613955}},
language = {{eng}},
month = {{01}},
pages = {{2023--2028}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{On a hierarchical control strategy for multi-agent formation without reflection}},
url = {{http://dx.doi.org/10.1109/CDC.2018.8619404}},
doi = {{10.1109/CDC.2018.8619404}},
year = {{2019}},
}