Your browser doesn't support javascript.
loading
Multi-consensus formation control by artificial potential field based on velocity threshold.
Chang, Xiaofei; Jiao, Jiayue; Li, Yuenan; Hong, Bei.
Affiliation
  • Chang X; Northwestern Polytechnical University, Xi'an, China.
  • Jiao J; Northwestern Polytechnical University, Xi'an, China.
  • Li Y; CAMA, Luoyang, China.
  • Hong B; Beijing Institute of Astronautical Systems Engineering, Beijing, China.
Front Neurosci ; 18: 1367248, 2024.
Article in En | MEDLINE | ID: mdl-38591066
ABSTRACT
This study proposes a multi-consensus formation control algorithm by artificial potential field (APF) method based on velocity threshold. The algorithm improves the multi-consensus technique. This algorithm can split a group of agents into multiple agent groups. Note that the algorithm can easily complete the queue transformation as long as the entire proxy group is connected initially and no specific edges need to be removed. Furthermore, collision avoidance and maintenance of existing communication connectivity should be considered during the movement of all agents. Therefore, we design a new swarm motion potential function. The stability of multi-consensus formation control has proven to be effective in avoiding collisions, maintaining connectivity, and generating formations. The final numerical simulation results show the role of the controller we designed.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neurosci Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neurosci Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland