Decentralised and cooperative control of multi-robot systems through distributed optimisation
Decentralised and cooperative control of multi-robot systems through distributed optimisation
Multi-robot cooperative control has gained extensive research interest due to its wide applications in civil, security, and military domains. This paper proposes a cooperative control algorithm for multi-robot systems with general linear dynamics. The algorithm is based on distributed cooperative optimisation and output regulation, and it achieves global optimum by utilising only information shared among neighbouring robots. Technically, a high-level distributed optimisation algorithm for multi-robot systems is presented, which will serve as an optimal reference generator for each individual agent. Then, based on the distributed optimisation algorithm, an output regulation method is utilised to solve the optimal coordination problem for general linear dynamic systems. The convergence of the proposed algorithm is theoretically proved. Both numerical simulations and real-time physical robot experiments are conducted to validate the effectiveness of the proposed cooperative control algorithms.
Cooperative Control, Distributed Optimisation, Multi-robot Systems, Optimal Coordination, Output Regulation
1421-1429
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Dong, Yi
355a62d9-5d1a-4c14-a900-9911e8c62453
Li, Zhongguo
4e946c87-2de7-4e95-9a45-3d5f7853f78e
Zhao, Xingyu
56d69104-77e5-4741-bca1-c0fa13f433fe
Ding, Zhengtao
5589b7c6-eadd-4383-885f-bcc2017f71b8
Huang, Xiaowei
ea80b217-6df4-4708-970d-93303f2a17e5
30 May 2023
Dong, Yi
355a62d9-5d1a-4c14-a900-9911e8c62453
Li, Zhongguo
4e946c87-2de7-4e95-9a45-3d5f7853f78e
Zhao, Xingyu
56d69104-77e5-4741-bca1-c0fa13f433fe
Ding, Zhengtao
5589b7c6-eadd-4383-885f-bcc2017f71b8
Huang, Xiaowei
ea80b217-6df4-4708-970d-93303f2a17e5
Dong, Yi, Li, Zhongguo, Zhao, Xingyu, Ding, Zhengtao and Huang, Xiaowei
(2023)
Decentralised and cooperative control of multi-robot systems through distributed optimisation.
In AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems.
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
.
(doi:10.5555/3545946.3598794).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Multi-robot cooperative control has gained extensive research interest due to its wide applications in civil, security, and military domains. This paper proposes a cooperative control algorithm for multi-robot systems with general linear dynamics. The algorithm is based on distributed cooperative optimisation and output regulation, and it achieves global optimum by utilising only information shared among neighbouring robots. Technically, a high-level distributed optimisation algorithm for multi-robot systems is presented, which will serve as an optimal reference generator for each individual agent. Then, based on the distributed optimisation algorithm, an output regulation method is utilised to solve the optimal coordination problem for general linear dynamic systems. The convergence of the proposed algorithm is theoretically proved. Both numerical simulations and real-time physical robot experiments are conducted to validate the effectiveness of the proposed cooperative control algorithms.
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Published date: 30 May 2023
Additional Information:
Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 956123, and is also supported by the UK EPSRC under project [EP/T026995/1].
Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 956123, and is also supported by the UK EPSRC under project [EP/T026995/1].
Venue - Dates:
22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, , London, United Kingdom, 2023-05-29 - 2023-06-02
Keywords:
Cooperative Control, Distributed Optimisation, Multi-robot Systems, Optimal Coordination, Output Regulation
Identifiers
Local EPrints ID: 483856
URI: http://eprints.soton.ac.uk/id/eprint/483856
PURE UUID: 5a82555b-f82e-4639-a582-59110bb6ebaf
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Date deposited: 07 Nov 2023 17:42
Last modified: 20 Jul 2024 02:13
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Contributors
Author:
Yi Dong
Author:
Zhongguo Li
Author:
Xingyu Zhao
Author:
Zhengtao Ding
Author:
Xiaowei Huang
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