首页    期刊浏览 2025年02月21日 星期五
登录注册

文章基本信息

  • 标题:Distributed Data-Driven Control of Transportation Networks
  • 本地全文:下载
  • 作者:Vladimir Toro ; Eduardo Mojica-Nava ; Naly Rakoto-Ravalontsalama
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:239-244
  • DOI:10.1016/j.ifacol.2022.09.395
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This paper presents a data-driven control for a network of autonomous vehicles. The general scheme of cruise control is implemented for a set of vehicles defined by a nonlinear equation. Koopman operator allows representing the nonlinear system in the Koopman space (lifted space), suitable to get a linear observer that is used for distributed control instead of the nonlinear model. The proposed control simplified the control design and also allows to use a linear Model Predictive Control (MPC) in a distributed form.
  • 关键词:Koopman operator;cruise control;data-driven;distributed control
国家哲学社会科学文献中心版权所有