PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems
This paper considers the consensus control problem of multi-agent systems (MAS) with second-order hyperbolic distributed parameter models. Based on the framework of network topologies, a PI-type iterative learning control protocol is proposed by using the nearest neighbor knowledge. Using Gronwall i...
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Format: | Article |
Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8950091/ |
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author | Peng Li Xiao-Qing Liu Yong-Hong Lan |
author_facet | Peng Li Xiao-Qing Liu Yong-Hong Lan |
author_sort | Peng Li |
collection | DOAJ |
description | This paper considers the consensus control problem of multi-agent systems (MAS) with second-order hyperbolic distributed parameter models. Based on the framework of network topologies, a PI-type iterative learning control protocol is proposed by using the nearest neighbor knowledge. Using Gronwall inequality, a sufficient condition for the convergence of the consensus errors with respect to the iteration index is obtained. Finally, the validity of the proposed method is verified by two numerical examples. |
first_indexed | 2024-12-22T20:23:47Z |
format | Article |
id | doaj.art-e0c710e1aa2545c189dd6d9b8614e1df |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T20:23:47Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-e0c710e1aa2545c189dd6d9b8614e1df2022-12-21T18:13:47ZengIEEEIEEE Access2169-35362020-01-018160491605610.1109/ACCESS.2020.29639918950091PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent SystemsPeng Li0https://orcid.org/0000-0001-6400-8851Xiao-Qing Liu1https://orcid.org/0000-0002-9667-4178Yong-Hong Lan2https://orcid.org/0000-0002-7072-4798School of Information Engineering, Xiangtan University, Xiangtan, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing, ChinaSchool of Information Engineering, Xiangtan University, Xiangtan, ChinaThis paper considers the consensus control problem of multi-agent systems (MAS) with second-order hyperbolic distributed parameter models. Based on the framework of network topologies, a PI-type iterative learning control protocol is proposed by using the nearest neighbor knowledge. Using Gronwall inequality, a sufficient condition for the convergence of the consensus errors with respect to the iteration index is obtained. Finally, the validity of the proposed method is verified by two numerical examples.https://ieeexplore.ieee.org/document/8950091/Multi-agent systemsiterative learning controlGronwall inequalityhyperbolic distributed parameter system |
spellingShingle | Peng Li Xiao-Qing Liu Yong-Hong Lan PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems IEEE Access Multi-agent systems iterative learning control Gronwall inequality hyperbolic distributed parameter system |
title | PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems |
title_full | PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems |
title_fullStr | PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems |
title_full_unstemmed | PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems |
title_short | PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems |
title_sort | pi type iterative learning consensus control for second order hyperbolic distributed parameter models multi agent systems |
topic | Multi-agent systems iterative learning control Gronwall inequality hyperbolic distributed parameter system |
url | https://ieeexplore.ieee.org/document/8950091/ |
work_keys_str_mv | AT pengli pitypeiterativelearningconsensuscontrolforsecondorderhyperbolicdistributedparametermodelsmultiagentsystems AT xiaoqingliu pitypeiterativelearningconsensuscontrolforsecondorderhyperbolicdistributedparametermodelsmultiagentsystems AT yonghonglan pitypeiterativelearningconsensuscontrolforsecondorderhyperbolicdistributedparametermodelsmultiagentsystems |