中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Maximizing Convergence Speed for Second Order Consensus in Leaderless Multi-Agent Systems

文献类型:期刊论文

作者Gianvito Difilippo; Maria Pia Fanti; Agostino Marcello Mangini
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2022
卷号9期号:2页码:259-269
关键词Consensus protocols directed spanning tree multi-agent systems networked systems second-order consensus
ISSN号2329-9266
DOI10.1109/JAS.2021.1004320
英文摘要The paper deals with the consensus problem in a leaderless network of agents that have to reach a common velocity while forming a uniformly spaced string. Moreover, the final common velocity (reference velocity) is determined by the agents in a distributed and leaderless way. Then, the consensus protocol parameters are optimized for networks characterized by a communication topology described by a class of directed graphs having a directed spanning tree, in order to maximize the convergence rate and avoid oscillations. The advantages of the optimized consensus protocol are enlightened by some simulation results and comparison with a protocol proposed in the related literature. The presented protocol can be applied to coordinate agents such as mobile robots, automated guided vehicles (AGVs) and autonomous vehicles that have to move with the same velocity and a common inter-space gap.
源URL[http://ir.ia.ac.cn/handle/173211/45988]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Gianvito Difilippo,Maria Pia Fanti,Agostino Marcello Mangini. Maximizing Convergence Speed for Second Order Consensus in Leaderless Multi-Agent Systems[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(2):259-269.
APA Gianvito Difilippo,Maria Pia Fanti,&Agostino Marcello Mangini.(2022).Maximizing Convergence Speed for Second Order Consensus in Leaderless Multi-Agent Systems.IEEE/CAA Journal of Automatica Sinica,9(2),259-269.
MLA Gianvito Difilippo,et al."Maximizing Convergence Speed for Second Order Consensus in Leaderless Multi-Agent Systems".IEEE/CAA Journal of Automatica Sinica 9.2(2022):259-269.

入库方式: OAI收割

来源:自动化研究所

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