文献类型：期刊文献

英文题名：Resilient control of networked control systems with stochastic denial of service attacks

作者：Sun, Hongtao[1];Peng, Chen[1];Yang, Taicheng[1];Zhang, Hao[1];He, Wangli[2]

机构：[1]Shanghai Univ, Sch Mech Engn & Automat, Dept Automat, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2017

卷号：270

起止页码：170

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20172603845473);WOS:【SCI-EXPANDED(收录号:WOS:000412618300020)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grants 61673255, 61633016 and61573141, the International Corporation Project of Shanghai Science and Technology Commission under Grants 14510722500 and 15220710400, the Science and Technology Commission of Shanghai Municipality under Grant 15JC1401900.

语种：英文

外文关键词：Networked control systems; DoS attacks; Markovian process; Resilient control

摘要：This paper focuses on resilient control of networked control systems (NCSs) under the denial of service (DoS) attacks characterized by a Markov process. Firstly, based on the game between attack strategies and defense strategies, the packet dropouts induced by DoS attacks are modeled as a Markov process. Secondly, an NCS under DoS attacks is modeled as a Markovian jump linear system. Then, by use of the Lyapunov theory and the derived NCS model, four theorems are given for the system stability analysis and controller design. Finally, a numerical example is used to illustrative the effectiveness of proposed method. (C) 2017 Elsevier B.V. All rights reserved.