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Event-Triggered Data-Driven Control for Nonlinear Systems Under Frequency-Duration-Constrained DoS Attacks
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DOI：10.1109/TIFS.2022.3233154.png)
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摘要
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This paper addresses the event-triggered model free adaptive control (MFAC) problem for unknown nonlinear systems under denial-of-service (DoS) attacks, where the design and analysis are discussed under the data-driven framework. Firstly, by using the novel pseudo partial derivative, the nonlinear systems are converted into an equivalent data-relationship model. Then, the DoS attacks are described as limited by their frequency and duration, and without any more specific assumptions about the attack structure or strategy. Next, a novel event-triggered MFAC scheme is proposed. By employing the Lyapunov stability theory, the stability performance is analyzed. Furthermore, a compensation algorithm is designed to against the adverse impact brought by the DoS attacks. Finally, simulations including a numerical example and a load frequency control (LFC) example for multi-area power systems are given to demonstrate the validity and applicability of the proposed schemes.
Keyword:
Denial-of-service attack
Power system stability
Games
Time-frequency analysis
Thermal stability
Security
Nonlinear dynamical systems
Event-triggered control
DoS attacks
unknown nonlinear systems
model free adaptive control
data-driven design
期刊
IF:
8
论文数:
5.3K
被引数:
2.3W
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