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Observer-based data-driven attack compensation control algorithm for nonlinear systems with aperiodic DoS attacks

delete2025-07-25
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PRE
AI
B
Bai‐Fan Yue
W
Wei‐Wei Che *
Y
Yuanyuan Zou
DOI:10.1016/j.chaos.2025.116866delete
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Abstract

Abstract

En 中文
• An observer-based model-free adaptive compensation control method is presented for a type of nonlinear systems with aperiodic DoS attacks. The observer and the output reconstruction mechanism are designed in a unified framework, which work collaboratively and update only based on current and historical data. • Under the new attack compensation framework, fewer conditions are used to mitigate the influence of attacks and achieve the tracking control objectives. The restriction on the PPD parameter symbol and the assumption about the bounded attack compensation signal can be eliminated.
Keywords:
model-free adaptive control
observer design
nonlinear systems
aperiodic DoS attacks
output reconstruction

Journal

C
Chaos Solitons and Fractals
IF:
5.6
Papers:
1.3K
Citations:
3.8W

Organization

S
shanghai jiao tong university
Scholars:
15.5W
Papers: 11.6W
Citations: 159
N
Northeastern University
Scholars:
2.4W
Papers: 1.5W
Citations: 3.0W