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

Teng-Fei Ding1, Ming-Feng Ge2, Caihua Xiong3

  • 1School 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.

ISA Transactions
|June 27, 2022
PubMed

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