Affiliation:
1. Shantou University , Shantou City , Guang Dong Province, 515063, China
Abstract
Abstract
This study proposes a distributed algorithm that enables agents’ adaptive grouping and entrapment of multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping. In this study, an agent distributed decision framework is proposed. Agents make their own decisions about which targets to surround based on environmental information. Meanwhile, a modified Vicsek model is proposed to enable agents to smoothly change formations to adapt to the environment, while forming an entrapping effect on the target. In addition, we provide an optional rotary entrapping function for this model to achieve better effect. We validate the performance of proposed method using simulation and physical experiments.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Science and Technology Planning Project of Guangdong Province of China
State Key Lab of Digital Manufacturing Equipment & Technology
National Defense Technology Innovation Special Zone Project
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics
Cited by
3 articles.
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