Distributed adaptive iterative learning control for 2D multi agent systems
Abstract This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model. By transforming the 2D agent into a compact form, an adaptive variable, which adjusted by the tracking errors of itself and the neighbou...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-07-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.13263 |
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| _version_ | 1850078023864287232 |
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| author | Qingyuan Xu Qingquan Mai Boxian Wang Kai Wan Yunshan Wei |
| author_facet | Qingyuan Xu Qingquan Mai Boxian Wang Kai Wan Yunshan Wei |
| author_sort | Qingyuan Xu |
| collection | DOAJ |
| description | Abstract This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model. By transforming the 2D agent into a compact form, an adaptive variable, which adjusted by the tracking errors of itself and the neighbour agents, is designed to approximate the unknown varying coefficient. Then, based on the approximated coefficient and the iteration‐varying reference surfaces, the distributed adaptive iterative learning control strategy is obtained. The output consensus of the 2D multi agent is proved. Simulations are included to verify the effectiveness of the investigated distributed adaptive ILC for 2D MASs with random variations on initial condition and reference surface. |
| format | Article |
| id | doaj-art-3a9682ef2c954c3bb7c7c0ceeb99973f |
| institution | DOAJ |
| issn | 0013-5194 1350-911X |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj-art-3a9682ef2c954c3bb7c7c0ceeb99973f2025-08-20T02:45:41ZengWileyElectronics Letters0013-51941350-911X2024-07-016013n/an/a10.1049/ell2.13263Distributed adaptive iterative learning control for 2D multi agent systemsQingyuan Xu0Qingquan Mai1Boxian Wang2Kai Wan3Yunshan Wei4School of Electronic and Information Guangdong Polytechnic Normal University Guangzhou Guangdong ChinaSchool of Electronic and Information Guangdong Polytechnic Normal University Guangzhou Guangdong ChinaSchool of Electronic and Information Guangdong Polytechnic Normal University Guangzhou Guangdong ChinaSchool of Electronic Information and Electrical Engineering Huizhou University Huizhou Guangdong ChinaSchool of Electronics and Communication Engineering Guangzhou University Guangzhou ChinaAbstract This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model. By transforming the 2D agent into a compact form, an adaptive variable, which adjusted by the tracking errors of itself and the neighbour agents, is designed to approximate the unknown varying coefficient. Then, based on the approximated coefficient and the iteration‐varying reference surfaces, the distributed adaptive iterative learning control strategy is obtained. The output consensus of the 2D multi agent is proved. Simulations are included to verify the effectiveness of the investigated distributed adaptive ILC for 2D MASs with random variations on initial condition and reference surface.https://doi.org/10.1049/ell2.13263adaptive controllearning systems |
| spellingShingle | Qingyuan Xu Qingquan Mai Boxian Wang Kai Wan Yunshan Wei Distributed adaptive iterative learning control for 2D multi agent systems Electronics Letters adaptive control learning systems |
| title | Distributed adaptive iterative learning control for 2D multi agent systems |
| title_full | Distributed adaptive iterative learning control for 2D multi agent systems |
| title_fullStr | Distributed adaptive iterative learning control for 2D multi agent systems |
| title_full_unstemmed | Distributed adaptive iterative learning control for 2D multi agent systems |
| title_short | Distributed adaptive iterative learning control for 2D multi agent systems |
| title_sort | distributed adaptive iterative learning control for 2d multi agent systems |
| topic | adaptive control learning systems |
| url | https://doi.org/10.1049/ell2.13263 |
| work_keys_str_mv | AT qingyuanxu distributedadaptiveiterativelearningcontrolfor2dmultiagentsystems AT qingquanmai distributedadaptiveiterativelearningcontrolfor2dmultiagentsystems AT boxianwang distributedadaptiveiterativelearningcontrolfor2dmultiagentsystems AT kaiwan distributedadaptiveiterativelearningcontrolfor2dmultiagentsystems AT yunshanwei distributedadaptiveiterativelearningcontrolfor2dmultiagentsystems |