MPC for the Cyber-Physical System with Deception Attacks

被引：0
|
作者：
Liu, Yuezhi [1 ,2 ]
Chen, Yong [1 ,2 ]
Li, Meng [1 ,2 ]
Wan, Zhi [3 ]
机构：
[1] Univ Elect Sci & Technol China UESTC, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] UESTC, Inst Elect Vehicle Driving Syst & Safety Technol, Chengdu 611731, Peoples R China
[3] Chongqing Chang Ind Grp Co Ltd, Chongqing 401120, Peoples R China
来源：
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
关键词：
Cyber-physical system; resilient model predictive control; deception attacks; mixed H-2 / H-infinity; SECURITY;
D O I：
10.1109/ccdc49329.2020.9163909
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the model predictive control (MPC) problem is investigated for the cyber-physical system (CPS) with deception attacks. The proposed MPC takes the mixed H-2 / H-infinity performance index into consideration, by which the attacked system performance can be optimized and the robustness of the CPS can be satisfied. Besides, the cone complementarity linearization (CCL) method is introduced to address the non-convex issue and further the controller gains of the MPC are design. Moreover, the sufficient conditions that guarantee the recursive feasibility of the proposed MPC is demonstrated. Finally, the mass-spring- damping system is used to illustrate the validity of the presented control strategy.
引用
收藏
页码：3847 / 3852
页数：6
相关论文
共 50 条
  • [1] Stealthy Deception Attacks for Cyber-Physical Systems
    Goes, Romulo Meira
    Kang, Eunsuk
    Kwong, Raymond
    Lafortune, Stephane
    [J]. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [2] Coordinated cyber-physical attacks of cyber-physical power system
    Yang, Yude
    Lan, Shuilan
    Qin, Zhijun
    Liu, Hui
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (02): : 97 - 102
  • [3] Identification and analysis of stochastic deception attacks on cyber-physical systems
    Barchinezhad, Soheila
    Haghighi, Mohammad Sayad
    Puig, Vicenc
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (08):
  • [4] Security Analysis for Cyber-Physical Systems against Stealthy Deception Attacks
    Kwon, Cheolhyeon
    Liu, Weiyi
    Hwang, Inseok
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 3344 - 3349
  • [5] Resilience Against Sensor Deception Attacks on Cyber-Physical Control Systems
    Lafortune, Stephane
    Dotoli, Mariagrazia
    Gregoire, Amphitheatre A.
    [J]. 2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019,
  • [6] Real-time detection of deception attacks in cyber-physical systems
    Cai, Feiyang
    Koutsoukos, Xenofon
    [J]. INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2023, 22 (05) : 1099 - 1114
  • [7] Detection, reconstruction and mitigation of deception attacks in nonlinear cyber-physical systems
    Shahriari-kahkeshi, Maryam
    Alem, Sayed Amirhosein
    Shi, Peng
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2024, 38 (09) : 2972 - 2995
  • [8] Synthesis of sensor deception attacks at the supervisory layer of Cyber-Physical Systems
    Meira-Goes, Romulo
    Kang, Eunsuk
    Kwong, Raymond H.
    Lafortune, Stephane
    [J]. AUTOMATICA, 2020, 121 (121)
  • [9] Optimal Intermittent Deception Attacks With Energy Constraints for Cyber-Physical Systems
    Liu, Xuan
    Yang, Guang-Hong
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (10): : 5889 - 5900
  • [10] Adaptive control of cyber-physical systems under deception and injection attacks
    Yang, Yue
    Huang, Jiangshuai
    Su, Xiaojie
    Deng, Benmin
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (12): : 6174 - 6194
12345