Formation Tracking for Multi-UGV System with Collision Avoidance via Improved Potential Field-Reference-Cited by-同舟云学术

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Formation Tracking for Multi-UGV System with Collision Avoidance via Improved Potential Field

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Hu Chenxi¹,Hu Sibo²,Dong Jin³,Hua Yongzhao⁴,Dong Xiwang¹

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University,Beijing,P. R. China,100191

2. Chinese Aeronautical Establishment,Beijing,P. R. China,100012

3. Beijing Academy of Blockchain and Edge Computing,Beijing,P. R. China,100085

4. Institute of Artificial Intelligence, Beihang University,Beijing,P. R. China,100191

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240498.pdf?arnumber=10240498

Reference22 articles.

1. Collision-Free Formation Tracking of Multi-Agent Systems Under Communication Constraints

2. Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems

3. A non-potential orthogonal vector field method for more efficient robot navigation and control

4. Practical time-varying output formation tracking for high-order multi-agent systems with collision avoidance, obstacle dodging and connectivity maintenance

5. Multi-agent differential game based cooperative synchronization control using a data-driven method

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