Volume 18, Issue 3 (Journal of Control, V.18, N.3 Fall 2024)
JoC 2024, 18(3): 37-47 |
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Baghi MohammadAbadi H, abdollahi F, Talebi H. Secure Fault-Tolerant Tracking Control for a Class of Nonlinear Uncertain Systems with Multiple Faults in the Presence of Denial-of-Service and Injection Attacks. JoC 2024; 18 (3) :37-47
URL: http://joc.kntu.ac.ir/article-1-1018-en.html
URL: http://joc.kntu.ac.ir/article-1-1018-en.html
1- Amirkabir University of Technology
Abstract: (2313 Views)
This paper investigates the problem of secure fault-tolerant tracking control of a class of uncertain nonlinear systems suffering injection attacks and denial-of-service (DoS) attacks. Given the nature of DoS attacks and injection attacks, we have introduced a novel approach that utilizes a switching-type state observer for ensuring control over cyber tracking and resilience against constructed to simultaneously estimate unmeasured state and compensate the actuator and sensor faults. The inherent uncertainties of the system, along with actuator and sensor faults and system disturbances, are addressed through an adaptive tracking control approach. Through the integration of adaptive control, a Fuzzy Logic System (FLS), and observer-based techniques, our method dynamically adjusts control parameters to be compatible with system uncertainties and mitigates the impact of disturbances, actuator and sensor faults, and injection attacks. Our proposed approach ensures system stability and tracking performance, providing a suitable framework for controlling the system in the presence of cyber-attacks. Simulation results on a non-linear example system demonstrate the effectiveness of the proposed method.
Keywords: Uncertain Nonlinear System, Denial-of-Service Attacks, Injection Attacks, Sensor and Actuator Faults, Secure Control, Fault-Tolerant Control
Type of Article: Research paper |
Subject:
Special
Received: 2024/01/6 | Accepted: 2024/06/16 | ePublished ahead of print: 2024/06/29 | Published: 2024/11/21
Received: 2024/01/6 | Accepted: 2024/06/16 | ePublished ahead of print: 2024/06/29 | Published: 2024/11/21
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