Stabilization and Data-Rate Condition for Stability of Networked Control Systems With Denial-of-Service Attacks

被引:40
作者
Liu, Guopin [1 ]
Hua, Changchun [1 ]
Liu, Peter Xiaoping [2 ,3 ]
Xu, Hongshuang [4 ]
Guan, Xinping [5 ]
机构
[1] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Zhejiang Sci Tech Univ, Fac Mech Engn & Automat, Hangzhou 310000, Peoples R China
[3] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
[4] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Hebei, Peoples R China
[5] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Networked control systems; Bandwidth; Time-frequency analysis; Eigenvalues and eigenfunctions; Stability criteria; Denial-of-service attack; Data-rate condition; denial-of-service (DoS) attacks; networked control systems; LINEAR-SYSTEMS; STABILIZABILITY; DESIGN;
D O I
10.1109/TCYB.2020.2970415
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article investigates the stabilization control and stabilizing data-rate condition problems for networked control systems, which transmit signals from the sensor to the controller over the communication network with denial-of-service (DoS) attacks. Considering a class of DoS attacks that only constrain its frequency and duration, we aim to explore the constraint condition for stabilization and minimum stabilizing data rate of the networked control systems. The framework consists of two main parts. The first part considers the stabilizing control by the state-feedback approach under ideal bandwidth capacity. While the second part characterizes the average stabilizing data rate in terms of the eigenvalues of system matrix and DoS constraint functions to explicitly reveal the relationship between the attacks and the network bandwidth capacity. The stabilizing result is novel in the sense that the DoS-attack intensity, which is characterized by its frequency and duration, can vary for different time intervals. With this feature, the minimum average data-rate condition can vary for different time intervals according to the intensity of DoS attacks.
引用
收藏
页码:700 / 711
页数:12
相关论文
共 28 条
[1]  
Amin S, 2009, LECT NOTES COMPUT SC, V5469, P31, DOI 10.1007/978-3-642-00602-9_3
[2]   Quantized feedback stabilization of linear systems [J].
Brockett, RW ;
Liberzon, D .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (07) :1279-1289
[3]   Denial-of-service attack-detection techniques [J].
Carl, G ;
Kesidis, G ;
Brooks, RR ;
Rai, S .
IEEE INTERNET COMPUTING, 2006, 10 (01) :82-89
[4]   A Survey on Smart Grid Cyber-Physical System Testbeds [J].
Cintuglu, Mehmet Hazar ;
Mohammed, Osama A. ;
Akkaya, Kemal ;
Uluagac, A. Selcuk .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (01) :446-464
[5]   Input-to-State Stabilizing Control Under Denial-of-Service [J].
De Persis, Claudio ;
Tesi, Pietro .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (11) :2930-2944
[6]   Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks [J].
Fawzi, Hamza ;
Tabuada, Paulo ;
Diggavi, Suhas .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (06) :1454-1467
[7]   Networked control systems under Denial-of-Service: Co-located vs. remote architectures [J].
Feng, S. ;
Tesi, P. .
SYSTEMS & CONTROL LETTERS, 2017, 108 :40-47
[8]  
Feng S., 2018, DATA RATES STABILIZI
[9]  
Feng S, 2017, IEEE DECIS CONTR P, DOI 10.1109/CDC.2017.8264453
[10]   Resilient control under Denial-of-Service: Robust design [J].
Feng, Shuai ;
Tesi, Pietro .
AUTOMATICA, 2017, 79 :42-51