Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems
In this paper, a low-computation adaptive self-triggered tracking control scheme is proposed for a class of strict-feedback nonlinear systems with input saturation. By introducing two novel error transformation functions, the designed low-computation adaptive control scheme can overcome the problem...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/13/2771 |
| _version_ | 1797591889715658752 |
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| author | Wenjing Wu Ning Xu Ben Niu Xudong Zhao Adil M. Ahmad |
| author_facet | Wenjing Wu Ning Xu Ben Niu Xudong Zhao Adil M. Ahmad |
| author_sort | Wenjing Wu |
| collection | DOAJ |
| description | In this paper, a low-computation adaptive self-triggered tracking control scheme is proposed for a class of strict-feedback nonlinear systems with input saturation. By introducing two novel error transformation functions, the designed low-computation adaptive control scheme can overcome the problem of complexity explosion in the absence of any filters, such that the developed control scheme is more applicable. In addition, to save communication resources in networked systems, a self-triggered communication strategy is proposed which can predict the next trigger point based on the current information. Compared with traditional event-triggered mechanisms, the computational burden arising from continuous monitoring of threshold conditions was successfully avoided. Furthermore, the input saturation problem considered in this paper prevents the overload phenomenon caused by signal jumps, and the adverse effects are compensated by introducing an auxiliary system. The effectiveness of the developed control scheme is verified through a simulation example. |
| first_indexed | 2024-03-11T01:43:49Z |
| format | Article |
| id | doaj.art-389a451cf5ca49d6b0810b21ca6a7857 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T01:43:49Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-389a451cf5ca49d6b0810b21ca6a78572023-11-18T16:23:13ZengMDPI AGElectronics2079-92922023-06-011213277110.3390/electronics12132771Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked SystemsWenjing Wu0Ning Xu1Ben Niu2Xudong Zhao3Adil M. Ahmad4College of Control Science and Engineering, Bohai University, Jinzhou 121013, ChinaCollege of Information Science and Technology, Bohai University, Jinzhou 121013, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaCommunication Systems and Networks Research Group, Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi ArabiaIn this paper, a low-computation adaptive self-triggered tracking control scheme is proposed for a class of strict-feedback nonlinear systems with input saturation. By introducing two novel error transformation functions, the designed low-computation adaptive control scheme can overcome the problem of complexity explosion in the absence of any filters, such that the developed control scheme is more applicable. In addition, to save communication resources in networked systems, a self-triggered communication strategy is proposed which can predict the next trigger point based on the current information. Compared with traditional event-triggered mechanisms, the computational burden arising from continuous monitoring of threshold conditions was successfully avoided. Furthermore, the input saturation problem considered in this paper prevents the overload phenomenon caused by signal jumps, and the adverse effects are compensated by introducing an auxiliary system. The effectiveness of the developed control scheme is verified through a simulation example.https://www.mdpi.com/2079-9292/12/13/2771low-computation technologyself-triggered controltracking controlinput saturationprescribed performance |
| spellingShingle | Wenjing Wu Ning Xu Ben Niu Xudong Zhao Adil M. Ahmad Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems Electronics low-computation technology self-triggered control tracking control input saturation prescribed performance |
| title | Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems |
| title_full | Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems |
| title_fullStr | Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems |
| title_full_unstemmed | Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems |
| title_short | Low-Computation Adaptive Saturated Self-Triggered Tracking Control of Uncertain Networked Systems |
| title_sort | low computation adaptive saturated self triggered tracking control of uncertain networked systems |
| topic | low-computation technology self-triggered control tracking control input saturation prescribed performance |
| url | https://www.mdpi.com/2079-9292/12/13/2771 |
| work_keys_str_mv | AT wenjingwu lowcomputationadaptivesaturatedselftriggeredtrackingcontrolofuncertainnetworkedsystems AT ningxu lowcomputationadaptivesaturatedselftriggeredtrackingcontrolofuncertainnetworkedsystems AT benniu lowcomputationadaptivesaturatedselftriggeredtrackingcontrolofuncertainnetworkedsystems AT xudongzhao lowcomputationadaptivesaturatedselftriggeredtrackingcontrolofuncertainnetworkedsystems AT adilmahmad lowcomputationadaptivesaturatedselftriggeredtrackingcontrolofuncertainnetworkedsystems |