文章基本信息

标题：Attack Detection and Estimation in Cooperative Vehicles Platoons: A Sliding Mode Observer Approach ⁎
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作者：Niloofar Jahanshahi ; Riccardo M.G. Ferrari
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：212-217
DOI：10.1016/j.ifacol.2018.12.037
语种：English
出版社：Elsevier
摘要：AbstractPlatoons of autonomous vehicles are currently being investigated by academic and industrial researchers as a way to increase road capacity and fuel efficiency. In order to fully reach such goals, a platoon must be endowed with cooperative capabilities, such as Cooperative Adaptive Cruise Control (CACC). This technique is based on the vehicles’ sensors and on wireless communication between them, in order to control their longitudinal dynamics. However, the use of wireless communication exposes individual vehicles to cyber-attacks that aim at disrupting the platoon. Detecting and estimating a class of such attacks is the challenge considered in this paper, where an adaptive sliding mode observer is designed for this purpose. Theoretical results on the observer stability and robustness and simulation results are provided.
关键词：KeywordsCooperative adaptive cruise controlAdaptive sliding mode controlCyber attackAttack reconstruction