Time-Varying Formation Tracking Control for Nonlinear Swarm Systems

Yu Jianglong received his bachelor's and doctor degrees from the School of Automation Science and Electrical Engineering at the Beijing University of Aeronautics and Astronautics in 2015 and 2020, respectively. From 2020 to 2022, he was a Postdoctoral Researcher with the School of Automation Science and Electrical Engineering, Beihang University. At present, he is an Associate Professor of Beihang University. His main research is the theory and application of cooperative guidance for aircraft swarm. A distributed cooperative encirclement hunting guidance method is proposed, which improves the cooperative interception ability of maneuvering targets and the cooperative attack ability of stationary targets. The relevant theoretical algorithms are verified in a variety of UAV swarms. As the first/corresponding author, he has published more than 20 high-level papers, including more than 10 SCI papers such as IEEE TCYB, IEEE TNNLS and CEP, and more than 10 EI papers and has obtained 3 authorized national invention patents. He served as reviewer of IEEE Transaction on Cybernetics, ISA Transaction, as well as international and domestic journals such as Acta Aeronautica Sinica and Modern Defense Technology. He is a member of the three committee members of CICC. He presided over the fund of the National Natural Science Foundation of China and China Postdoctoral Science Foundation. He has won the first prize of Science and Technology Progress Award of CICC, Excellent Doctoral Thesis of CICC and Best Student Paper Award of 2021 CCSICC.

Introduction.- Preliminaries.- Time-varying formation tracking control for nonlinear swarmsystem with matched nonlinearity.- Time-varying formation tracking control for high-orderstrict-feedback nonlinear swarm system with a noncooperative leader.- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with multiple leaders.- Time-varying formation tracking control for underactuated nonlinear swarm system.