Adaptive Formation Tracking Control of Directed Networked Vehicles in a Time-Varying Flowfield-Reference-Cited by-同舟云学术

Adaptive Formation Tracking Control of Directed Networked Vehicles in a Time-Varying Flowfield

Published:2021-10 Issue:10 Volume:44 Page:1883-1891
ISSN:1533-3884
Container-title:Journal of Guidance, Control, and Dynamics
language:en
Short-container-title:Journal of Guidance, Control, and Dynamics

Author:

Chen Yang-Yang¹^ORCID,Chen Kaiwen²^ORCID,Astolfi Alessandro²^ORCID

Affiliation:

1. Southeast University, 210096 Nanjing, People’s Republic of China

2. Imperial College London, London, England SW7 2AZ, United Kingdom

Funder

European Union’s Horizon 2020 Research and Innovation Programme

Italian Ministry for Research in the framework of the 2017 Program for Research Projects of National Interest

National Natural Science Foundation of China

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.G005822

Reference30 articles.

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3. Multi-AUV Control and Adaptive Sampling in Monterey Bay

4. Decentralized Scheme for Spacecraft Formation Flying via the Virtual Structure Approach

5. GhabchelooR. “Coordinated Path Following of Multiple Autonomous Vehicles,” Ph.D. Dissertation, Inst. Superior Tećnico, Univ. of Lisbon, Lisbon, 2007.

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