Research Article
An Approach to Enhance Convergence Efficiency of Self-propelled Agent System
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@INPROCEEDINGS{10.1007/978-3-642-02469-6_7, author={Jian-xi Gao and Zhuo Chen and Yun-ze Cai and Xiao-ming Xu}, title={An Approach to Enhance Convergence Efficiency of Self-propelled Agent System}, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2}, proceedings_a={COMPLEX PART 2}, year={2012}, month={5}, keywords={dynamic network swarm topological structure convergence time degree of consensus}, doi={10.1007/978-3-642-02469-6_7} }- Jian-xi Gao
Zhuo Chen
Yun-ze Cai
Xiao-ming Xu
Year: 2012
An Approach to Enhance Convergence Efficiency of Self-propelled Agent System
COMPLEX PART 2
Springer
DOI: 10.1007/978-3-642-02469-6_7
Abstract
In this paper, we investigate a weighted self-propelled particles system, wherein each agent’s direction is determined by its spatial neighbors’ directions with exponential weights concerning the neighbor numbers. In order to describe the fact that some agent with more neighbors might have much larger influence on its neighbors, we introduce a scaling exponent of the neighbor number between 0 and ∞. As the exponent increases, i.e., the effect of weight becomes stronger, the network of agents becomes much easier to achieve direction consensus in our simulation. Especially, when the exponent equals to 1, the convergence efficiency is enhanced.
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