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文章基本信息

  • 标题:Predictive control for trajectory tracking and decentralized navigation of multi-agent formations
  • 本地全文:下载
  • 作者:Ionela Prodan ; Sorin Olaru ; Cristina Stoica
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2013
  • 卷号:23
  • 期号:1
  • DOI:10.2478/amcs-2013-0008
  • 出版社:De Gruyter Open
  • 摘要:This paper addresses a predictive control strategy for a particular class of multi-agent formations with a time-varying topology. The goal is to guarantee tracking capabilities with respect to a reference trajectory which is pre-specified for an agent designed as the leader . Then, the remaining agents, designed as followers , track the position and orientation of the leader. In real-time, a predictive control strategy enhanced with the potential field methodology is used in order to derive a feedback control action based only on local information within the group of agents. The main concern is that the interconnections between the agents are time-varying, affecting the neighborhood around each agent. The proposed method exhibits effective performance validated through some illustrative examples.
  • 关键词:multi-agent systems; linear systems; model predictive control; potential function; polyhedral function
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