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FSG-based divinable time-varying formation tracking of multiple Lagrangian agents with unknown disturbances and directed graphs.

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第一作者： Teng-Fei,Ding

第一单位： School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430074, China. Electronic address: dingtf@cug.edu.cn.

作者： Teng-Fei,Ding ^[1] ; Ming-Feng,Ge ^[2] ; Caihua,Xiong ^[3] ; Zhi-Wei,Liu ^[4] ; Guang,Ling ^[5]

作者单位： School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430074, China. Electronic address: dingtf@cug.edu.cn. ^[1] School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China. Electronic address: gemf@cug.edu.cn. ^[2] State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address: chxiong@hust.edu.cn. ^[3] School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address: zwliu@hust.edu.cn. ^[4] School of Science, Wuhan University of Technology, Wuhan 430070, China. Electronic address: guangling@whut.edu.cn. ^[5]

关键词 Directed graphs Divinable time-varying formation tracking (TVFT)Flexible shape generator (FSG)Multiple Lagrangian agents Unknown disturbances

DOI 10.1016/j.isatra.2022.06.017

PMID 35760655

发布时间 2023-02-09

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