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Status已发表Published
TitleDiscrete-Time Adaptive Fuzzy Command Filtered Backstepping Control for Quadrotor Unmanned Aerial Vehicle Systems: Theory and Experiments
Creator
Date Issued2024-06-01
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN1063-6706
Volume32Issue:6Pages:3618-3628
Abstract

In this article, a discrete-time adaptive fuzzy command filtered backstepping control scheme is presented for the altitude and attitude control problems of the quadrotor unmanned aerial vehicle. The discrete-time controller is designed by using a novel command filtered backstepping method based on the discrete-time system model of the quadrotor, and model uncertainties are handled by using adaptive fuzzy control. Furthermore, the problem of causality is solved by utilizing the first-order filters. The effectiveness of the proposed control scheme is demonstrated by simulation and experiment.

KeywordAdaptive fuzzy control command filtered backstepping (CFB) discrete-time nonlinear system unmanned aerial vehicle (UAV)
DOI10.1109/TFUZZ.2024.3379510
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:001240137400023
Scopus ID2-s2.0-85188522191
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11771
CollectionFaculty of Science and Technology
Corresponding AuthorZhao, Lin
Affiliation
1.Qingdao University, School of Automation, The Shandong Key Laboratory of Industrial Control Technology, Qingdao, 266071, China
2.Beijing Normal University, Institute of AI and Future Networks, Zhuhai, 519087, China
3.BNU-HKBU United International College, Guangdong Key Lab of AI and MM Data Processing, Guangdong Provincial Key Laboratory IRADS, IAS, DST, Zhuhai, 519087, China
Recommended Citation
GB/T 7714
Zhao, Yang,Zhao, Lin,Yu, Jinpenget al. Discrete-Time Adaptive Fuzzy Command Filtered Backstepping Control for Quadrotor Unmanned Aerial Vehicle Systems: Theory and Experiments[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(6): 3618-3628.
APA Zhao, Yang, Zhao, Lin, Yu, Jinpeng, & Wang, Qing Guo. (2024). Discrete-Time Adaptive Fuzzy Command Filtered Backstepping Control for Quadrotor Unmanned Aerial Vehicle Systems: Theory and Experiments. IEEE Transactions on Fuzzy Systems, 32(6), 3618-3628.
MLA Zhao, Yang,et al."Discrete-Time Adaptive Fuzzy Command Filtered Backstepping Control for Quadrotor Unmanned Aerial Vehicle Systems: Theory and Experiments". IEEE Transactions on Fuzzy Systems 32.6(2024): 3618-3628.
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