Extended state observer-based backstepping control for nonlinear systems under FDI attacks

被引:0
|
作者
Xu, Ning [1 ]
Xu, Huiling [1 ]
Lin, Zhiping [2 ]
Zhang, Jun [3 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Math & Stat, Nanjing 210094, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[3] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Peoples R China
关键词
Nonlinear systems; False data injection attacks; Extended state observers; Backstepping control; FALSE DATA INJECTION; CONSENSUS TRACKING CONTROL; CYBER-PHYSICAL SYSTEMS; ADAPTIVE-CONTROL;
D O I
10.1016/j.isatra.2025.02.007
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, a novel extended state observer-based backstepping control scheme is proposed for strict-feedback nonlinear systems with unmeasured states suffering from false data injection (FDI) attacks. An extended state observer is designed to achieve simultaneous online estimation of system states and FDI attacks. A secure output feedback tracking control scheme with an attack compensation method is proposed to reduce the influence of FDI attacks. It is proven that the proposed scheme can guarantee that the closed-loop system is semi-global uniformly ultimately bounded. Moreover, it is shown that the observation errors can be as small as desired with an adjustable parameter and the tracking error can converge to a small neighborhood of the origin. Finally, two simulation examples verify the efficiency of the proposed approach.
引用
收藏
页码:80 / 91
页数:12
相关论文
共 50 条
  • [1] Iterative Observer-Based Resilient Control for Energy Storage Systems in Microgrids Under FDI Attacks
    Tang, Qi
    Deng, Chao
    Wang, Yu
    Guo, Fanghong
    Fan, Sha
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (05) : 4744 - 4753
  • [2] Extended state observer-based finite-time trajectory tracking control for wheeled mobile robots under FDI attacks
    Ye, Zhenhan
    Ye, Zehua
    Zhang, Dan
    Cheng, Jun
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (18):
  • [3] Extended observer-based hybrid tracking control strategy for networked system with FDI attacks
    Xu, Longyu
    Chen, Yong
    Li, Meng
    Zhang, Longjie
    Mahmoud, Gafary
    ASIAN JOURNAL OF CONTROL, 2023, 25 (04) : 3092 - 3104
  • [4] Extended State Observer-based Backstepping Control for Depth Tracking of the Underactuated AUV
    Gharesi, Niloofar
    Ebrahimi, Zainab
    Forouzandeh, Anis
    Arefi, Mohammad Mehdi
    2017 5TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, AND AUTOMATION (ICCIA), 2017, : 354 - 358
  • [5] Quadcopter UAVs Extended States/Disturbance Observer-Based Nonlinear Robust Backstepping Control
    Ha Le Nhu Ngoc Thanh
    Tuan Tu Huynh
    Vu, Mai The
    Mung, Nguyen Xuan
    Phi, Nguyen Ngoc
    Hong, Sung Kyung
    Truong Nguyen Luan Vu
    SENSORS, 2022, 22 (14)
  • [6] Extended state observer-based backstepping sliding mode control for an electromagnetic valve actuator
    Aimin Fan
    Siqin Chang
    Journal of Mechanical Science and Technology, 2019, 33 : 847 - 856
  • [7] Extended state observer-based backstepping sliding mode control for an electromagnetic valve actuator
    Fan, Aimin
    Chang, Siqin
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2019, 33 (02) : 847 - 856
  • [8] Extended State Observer-based Backstepping Sliding Mode Controller for DMS Heading Control
    Lan, Ying
    Hu, Zhen
    Wang, Lei
    Yang, Shenshen
    Shen, Dan
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 700 - 705
  • [9] Distributed Extended State Observer-based Control for DC Microgrids With Cyber Attacks
    Zhang, Meng
    Wei, Bo
    39TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION, YAC 2024, 2024, : 1017 - 1022
  • [10] Event-Triggered Generalized Extended State Observer-Based Control for Nonlinear Networked Systems Under Gain Variation and Multi-Channel Attacks
    Zhang, Pengcheng
    Wang, Jianyu
    Liu, Yajuan
    Lee, Sangmoon
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (03) : 828 - 842