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  • 标题:Resilient Estimation and Control on k-Nearest Neighbor Platoons: A Network-Theoretic Approach
  • 本地全文:下载
  • 作者:Mohammad Pirani ; Ehsan Hashemi ; Baris Fidan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:23
  • 页码:22-27
  • DOI:10.1016/j.ifacol.2018.12.005
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is concerned with the network-theoretic properties of so-calledk-nearest neighbor intelligent vehicular platoons, where each vehicle communicates withkvehicles, both in front and behind. The network-theoretic properties analyzed in this paper play major roles in quantifying the resilience and robustness of three generic distributed estimation and control algorithms against communication failures and disturbances, namely resilient distributed estimation, resilient distributed consensus, and robust network formation. Based on the results for the connectivity measures of thek-nearest neighbor platoon, we show that extending the traditional platooning topologies (which were only based on interacting with nearest neighbors) tok-nearest neighbor platoons increases the resilience of distributed estimation and control algorithms to both communication failures and disturbances.
  • 关键词:KeywordsNetwork connectivityNetwork robustnessresilient estimationcontrol
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