A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems
A modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Fin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2022.2079021 |
| _version_ | 1811253552050339840 |
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| author | Jun Zhao Heng Liu Xingzhong Xiong Guoping Liu Han Yang |
| author_facet | Jun Zhao Heng Liu Xingzhong Xiong Guoping Liu Han Yang |
| author_sort | Jun Zhao |
| collection | DOAJ |
| description | A modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Finally, the effectiveness of the proposed modularized output control protocol is verified by simulation examples. |
| first_indexed | 2024-04-12T16:52:45Z |
| format | Article |
| id | doaj.art-5c444f4350a54dd9bf8d0a5f7a6f7ea5 |
| institution | Directory Open Access Journal |
| issn | 2164-2583 |
| language | English |
| last_indexed | 2024-04-12T16:52:45Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj.art-5c444f4350a54dd9bf8d0a5f7a6f7ea52022-12-22T03:24:21ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832022-12-0110158358910.1080/21642583.2022.2079021A novel modularized formation tracking control for mixed-order discrete-time multi-agent systemsJun Zhao0Heng Liu1Xingzhong Xiong2Guoping Liu3Han Yang4College of Automation and Information Engineering, Sichuan University of Science&Engineering, Zigong, People's Republic of ChinaCollege of Automation and Information Engineering, Sichuan University of Science&Engineering, Zigong, People's Republic of ChinaCollege of Automation and Information Engineering, Sichuan University of Science&Engineering, Zigong, People's Republic of ChinaSchool of Electrical Engineering and Automatiion, Wuhan University, Wuhan, People's Republic of ChinaCollege of Automation and Information Engineering, Sichuan University of Science&Engineering, Zigong, People's Republic of ChinaA modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Finally, the effectiveness of the proposed modularized output control protocol is verified by simulation examples.https://www.tandfonline.com/doi/10.1080/21642583.2022.2079021Multi-agent systemsmixed-orderformationconsensus |
| spellingShingle | Jun Zhao Heng Liu Xingzhong Xiong Guoping Liu Han Yang A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems Systems Science & Control Engineering Multi-agent systems mixed-order formation consensus |
| title | A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems |
| title_full | A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems |
| title_fullStr | A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems |
| title_full_unstemmed | A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems |
| title_short | A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems |
| title_sort | novel modularized formation tracking control for mixed order discrete time multi agent systems |
| topic | Multi-agent systems mixed-order formation consensus |
| url | https://www.tandfonline.com/doi/10.1080/21642583.2022.2079021 |
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