Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks

被引：90
|
作者：
Gu, Zhou [1 ,2 ]
Zhou, Xiaohong [1 ]
Zhang, Tao [2 ]
Yang, Fan [1 ]
Shen, Mouquan [3 ]
机构：
[1] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing, Peoples R China
[2] Qingdao Univ Sci & Technol, Coll Automat Elect Engn, Qingdao, Peoples R China
[3] Nanjing Technol Univ, Coll Elect Engn & Control Sci, Nanjing, Peoples R China
来源：
ISA TRANSACTIONS | 2020年 / 104卷
基金：
中国国家自然科学基金;
关键词：
Event-triggered mechanism; Cyber-attacks; Filter design; NETWORKED CONTROL-SYSTEMS; S FUZZY-SYSTEMS;
D O I：
10.1016/j.isatra.2019.02.036
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 paper is concerned with an event-triggered filter design for fuzzy-model based cyber-physical systems with cyber-attacks. Spurious events may be triggered under the conventional event-triggered mechanism (ETM) when the sampling data has a rapid change arising from unpredicted external disturbance. To avoid spurious decisions on data releasing a new ETM is proposed. Furthermore, the communication network is vulnerable to attacks by malicious attackers. Under this scenario, a new resilient filter is designed to ensure the security. Sufficient conditions are established to make the filtering error system asymptotically stable. A numerical example is provided to show the effectiveness of the proposed results. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：130 / 137
页数：8
相关论文
共 50 条
  • [1] Secure state estimation for event-triggered cyber-physical systems against deception attacks
    Han, Zhichen
    Zhang, Shengbing
    Jin, Zengwang
    Hu, Yanyan
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (18): : 11155 - 11185
  • [2] Event-triggered adaptive secure tracking control for nonlinear cyber-physical systems against unknown deception attacks
    Tian, Yongjie
    Zhang, Huiyan
    Liu, Yongchao
    Zhao, Ning
    Mathiyalagan, Kalidass
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2024, 221 : 79 - 93
  • [3] An Event-Triggered Fault Detection Approach in Cyber-Physical Systems with Sensor Nonlinearities and Deception Attacks
    Li, Yunji
    Liu, Xu
    Peng, Li
    [J]. ELECTRONICS, 2018, 7 (09)
  • [4] Adaptive Intelligent Control for Nonlinear Stochastic Cyber-Physical Systems With Unknown Deception Attacks: Switching Event-Triggered Scheme
    Yue, Huarong
    Zhang, Jing
    Xia, Jianwei
    Park, Ju H.
    Xie, Xiangpeng
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024,
  • [5] Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks
    Zhang, Liang
    Zhao, Zixiang
    Ma, Zheng
    Zhao, Ning
    [J]. NEURAL NETWORKS, 2024, 179
  • [6] Event-Triggered Adaptive Neural Prescribed Performance Tracking Control for Nonlinear Cyber-Physical Systems against Deception Attacks
    Li, Chunyan
    Li, Yinguang
    Zhang, Jianhua
    Li, Yang
    [J]. MATHEMATICS, 2024, 12 (12)
  • [7] Adaptive event-triggered controller design for cyber-physical systems with complex cyber-attacks
    Yin, Tingting
    Zha, Lijuan
    Liu, Jinliang
    Wang, Yuda
    Yang, Meng
    Suo, Wei
    [J]. 2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 4202 - 4207
  • [8] Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks
    Qi Sun
    Jicheng Chen
    Yang Shi
    [J]. Science China Information Sciences, 2022, 65
  • [9] Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks
    Qi SUN
    Jicheng CHEN
    Yang SHI
    [J]. Science China(Information Sciences), 2022, 65 (01) : 22 - 38
  • [10] Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks
    Sun, Qi
    Chen, Jicheng
    Shi, Yang
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2022, 65 (01)
12345