Event-triggered iterative learning control for output constrained multi-agent systems.
An event-triggered iterative learning consensus tracking control strategy is proposed for output constrained nonlinear discrete-time multi-agent systems. Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and output data of the system, and the output obs...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0315209 |
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| _version_ | 1850128425778413568 |
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| author | Wei Cao Huanhuan Li Jinjie Qiao Yi Zhu |
| author_facet | Wei Cao Huanhuan Li Jinjie Qiao Yi Zhu |
| author_sort | Wei Cao |
| collection | DOAJ |
| description | An event-triggered iterative learning consensus tracking control strategy is proposed for output constrained nonlinear discrete-time multi-agent systems. Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and output data of the system, and the output observer is designed based on the estimated PPD. Secondly, the deadband controller is designed based on the output estimation error of the observer, and the event trigger condition is determined by comparing the size of the output estimation error and the deadband controller function value, and the agents communicate when the trigger condition is satisfied, and do not communicate when it is not satisfied. Then, the event-triggered iterative learning control algorithm is constructed using the estimated PPD, the trigger condition and the measurement error, and the convergence of the algorithm is proved by using the Lyapunov function, and the proposed algorithm can make the output constrained multi-agent system consistently and completely tracking on the desired trajectory without the need of real-time communication conditions. Finally, the simulation results further validate the effectiveness of the control protocol. |
| format | Article |
| id | doaj-art-53661cfbd9934fca9f66ca4aa43560c7 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-53661cfbd9934fca9f66ca4aa43560c72025-08-20T02:33:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01203e031520910.1371/journal.pone.0315209Event-triggered iterative learning control for output constrained multi-agent systems.Wei CaoHuanhuan LiJinjie QiaoYi ZhuAn event-triggered iterative learning consensus tracking control strategy is proposed for output constrained nonlinear discrete-time multi-agent systems. Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and output data of the system, and the output observer is designed based on the estimated PPD. Secondly, the deadband controller is designed based on the output estimation error of the observer, and the event trigger condition is determined by comparing the size of the output estimation error and the deadband controller function value, and the agents communicate when the trigger condition is satisfied, and do not communicate when it is not satisfied. Then, the event-triggered iterative learning control algorithm is constructed using the estimated PPD, the trigger condition and the measurement error, and the convergence of the algorithm is proved by using the Lyapunov function, and the proposed algorithm can make the output constrained multi-agent system consistently and completely tracking on the desired trajectory without the need of real-time communication conditions. Finally, the simulation results further validate the effectiveness of the control protocol.https://doi.org/10.1371/journal.pone.0315209 |
| spellingShingle | Wei Cao Huanhuan Li Jinjie Qiao Yi Zhu Event-triggered iterative learning control for output constrained multi-agent systems. PLoS ONE |
| title | Event-triggered iterative learning control for output constrained multi-agent systems. |
| title_full | Event-triggered iterative learning control for output constrained multi-agent systems. |
| title_fullStr | Event-triggered iterative learning control for output constrained multi-agent systems. |
| title_full_unstemmed | Event-triggered iterative learning control for output constrained multi-agent systems. |
| title_short | Event-triggered iterative learning control for output constrained multi-agent systems. |
| title_sort | event triggered iterative learning control for output constrained multi agent systems |
| url | https://doi.org/10.1371/journal.pone.0315209 |
| work_keys_str_mv | AT weicao eventtriggerediterativelearningcontrolforoutputconstrainedmultiagentsystems AT huanhuanli eventtriggerediterativelearningcontrolforoutputconstrainedmultiagentsystems AT jinjieqiao eventtriggerediterativelearningcontrolforoutputconstrainedmultiagentsystems AT yizhu eventtriggerediterativelearningcontrolforoutputconstrainedmultiagentsystems |