Resilient control of networked control systems with stochastic denial of service attacks

NEUROCOMPUTING

卷:270

Article

Sun, Hongtao¹  Peng, Chen¹  Yang, Taicheng¹  Zhang, Hao¹  He, Wangli² 

[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

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

DOI  :  10.1016/j.neucom.2017.02.093

来源: Elsevier

【 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.

【 授权许可】

Free