Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning

In this paper, a distributed robust optimal formation control problem is studied based on reinforcement learning for the heterogeneous multi-agent system with partial unknown system parameters. The formation system is subjected to equivalent disturbances containing parameter uncertainties and extern...

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Main Authors: Wei Lin, Wanbing Zhao, Hao Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9276397/
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author Wei Lin
Wanbing Zhao
Hao Liu
author_facet Wei Lin
Wanbing Zhao
Hao Liu
author_sort Wei Lin
collection DOAJ
description In this paper, a distributed robust optimal formation control problem is studied based on reinforcement learning for the heterogeneous multi-agent system with partial unknown system parameters. The formation system is subjected to equivalent disturbances containing parameter uncertainties and external disturbances. The proposed robust optimal controller consists of a nominal controller and a robust compensator. For the nominal controller, the reinforcement learning algorithm is proposed to obtain the optimal control input. For the robust compensator, the reinforcement learning algorithm is firstly used to identify the unknown dynamic parameters and then the robust compensator is designed to restrain the equivalent disturbances in the formation system. The robustness properties of the global multi-agent system are proven. A simulation of heterogeneous rotorcrafts is provided to verify the effectiveness of the proposed method.
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spelling doaj.art-1da5528e5f064665ac4860d45c9b77162022-12-21T21:27:40ZengIEEEIEEE Access2169-35362020-01-01821842421843210.1109/ACCESS.2020.30420819276397Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement LearningWei Lin0Wanbing Zhao1https://orcid.org/0000-0002-0564-9736Hao Liu2https://orcid.org/0000-0001-8365-8008State Key Laboratory of Mathematical Engineering and Advanced Computing, Information Engineering University, Zhengzhou, ChinaSchool of Astronautics, Beihang University, Beijing, ChinaSchool of Astronautics, Beihang University, Beijing, ChinaIn this paper, a distributed robust optimal formation control problem is studied based on reinforcement learning for the heterogeneous multi-agent system with partial unknown system parameters. The formation system is subjected to equivalent disturbances containing parameter uncertainties and external disturbances. The proposed robust optimal controller consists of a nominal controller and a robust compensator. For the nominal controller, the reinforcement learning algorithm is proposed to obtain the optimal control input. For the robust compensator, the reinforcement learning algorithm is firstly used to identify the unknown dynamic parameters and then the robust compensator is designed to restrain the equivalent disturbances in the formation system. The robustness properties of the global multi-agent system are proven. A simulation of heterogeneous rotorcrafts is provided to verify the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/9276397/Formation controlreinforcement learningrobust optimal controlheterogeneous multi-agent systems
spellingShingle Wei Lin
Wanbing Zhao
Hao Liu
Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
IEEE Access
Formation control
reinforcement learning
robust optimal control
heterogeneous multi-agent systems
title Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
title_full Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
title_fullStr Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
title_full_unstemmed Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
title_short Robust Optimal Formation Control of Heterogeneous Multi-Agent System via Reinforcement Learning
title_sort robust optimal formation control of heterogeneous multi agent system via reinforcement learning
topic Formation control
reinforcement learning
robust optimal control
heterogeneous multi-agent systems
url https://ieeexplore.ieee.org/document/9276397/
work_keys_str_mv AT weilin robustoptimalformationcontrolofheterogeneousmultiagentsystemviareinforcementlearning
AT wanbingzhao robustoptimalformationcontrolofheterogeneousmultiagentsystemviareinforcementlearning
AT haoliu robustoptimalformationcontrolofheterogeneousmultiagentsystemviareinforcementlearning