文章基本信息

标题：A Game-theoretic Approach to Remote State Estimation in Presence of a DoS Attacker
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作者：Yuchi Wu ; Yuzhe Li ; Ling Shi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：2595-2600
DOI：10.1016/j.ifacol.2017.08.109
语种：English
出版社：Elsevier
摘要：AbstractWe propose a strategic form game to describe the dynamic evolution of estimation error covariance at a remote estimator based on strategies of a sensor and a Denial-of-Service (DoS) attacker. Given the transmission cost and attack cost, the asymptotic performance of the remote estimator over an infinite time horizon is uniquely determined. Then, given a desired upper bound of the estimation error covariance, we calculate the duty cycle over an infinite time horizon in which the error is within the bound.
关键词：Keywordsgame theoryremote estimationKalman filterDoS attackcyber-physical systems