A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems

A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems

In this paper the distributed leader-follower consensus tracking problem is investigated for unknown nonlinear non-affine discrete-time multi-agent systems. Via a dynamic linearization method both for the agent system and the local ideal distributed controller, a distributed adaptive control scheme...

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Main Authors: Xian Yu, Shangtai Jin, Genfeng Liu, Ting Lei, Ye Ren
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dynamic linearization
data-driven control
adaptive control
multi-agent systems
consensus tracking
Online Access:https://ieeexplore.ieee.org/document/9261580/
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spelling doaj-7cf5f6cba1654013bd90f39bbb460e6a2021-03-30T03:55:06ZengIEEEIEEE Access2169-35362020-01-01820788420789310.1109/ACCESS.2020.30386299261580A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent SystemsXian Yu0https://orcid.org/0000-0002-3769-577XShangtai Jin1https://orcid.org/0000-0003-0986-6604Genfeng Liu2https://orcid.org/0000-0002-7855-5909Ting Lei3https://orcid.org/0000-0002-6027-3532Ye Ren4School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaCollege of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaSchool of Electrical and Control Engineering, North China University of Technology, Beijing, ChinaIn this paper the distributed leader-follower consensus tracking problem is investigated for unknown nonlinear non-affine discrete-time multi-agent systems. Via a dynamic linearization method both for the agent system and the local ideal distributed controller, a distributed adaptive control scheme is proposed in this paper using the Newton-type optimization method. The proposed approach is data-driven since only the local measurement information among neighboring agents is utilized in the control system design. The consensus tracking stabilities of the proposed approach are rigorously guaranteed in the cases of fixed and switching communication topologies. The simulations are conducted to verify the effectiveness of the proposed approach.https://ieeexplore.ieee.org/document/9261580/Dynamic linearizationdata-driven controladaptive controlmulti-agent systemsconsensus tracking
collection DOAJ
language English
format Article
sources DOAJ
author Xian Yu
Shangtai Jin
Genfeng Liu
Ting Lei
Ye Ren
spellingShingle Xian Yu
Shangtai Jin
Genfeng Liu
Ting Lei
Ye Ren
A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
IEEE Access
Dynamic linearization
data-driven control
adaptive control
multi-agent systems
consensus tracking
author_facet Xian Yu
Shangtai Jin
Genfeng Liu
Ting Lei
Ye Ren
author_sort Xian Yu
title A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
title_short A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
title_full A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
title_fullStr A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
title_full_unstemmed A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
title_sort data-driven distributed adaptive control approach for nonlinear multi-agent systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In this paper the distributed leader-follower consensus tracking problem is investigated for unknown nonlinear non-affine discrete-time multi-agent systems. Via a dynamic linearization method both for the agent system and the local ideal distributed controller, a distributed adaptive control scheme is proposed in this paper using the Newton-type optimization method. The proposed approach is data-driven since only the local measurement information among neighboring agents is utilized in the control system design. The consensus tracking stabilities of the proposed approach are rigorously guaranteed in the cases of fixed and switching communication topologies. The simulations are conducted to verify the effectiveness of the proposed approach.
topic Dynamic linearization
data-driven control
adaptive control
multi-agent systems
consensus tracking
url https://ieeexplore.ieee.org/document/9261580/
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AT genfengliu adatadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
AT tinglei adatadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
AT yeren adatadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
AT xianyu datadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
AT shangtaijin datadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
AT genfengliu datadrivendistributedadaptivecontrolapproachfornonlinearmultiagentsystems
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