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Event-Triggered Data-Driven Control for Nonlinear Systems Under Frequency-Duration-Constrained DoS Attacks
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2022-12-29 , DOI: 10.1109/tifs.2022.3233154
Xuhui Bu, Wei Yu, Yanling Yin, Zhongsheng Hou

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.

中文翻译:

频率持续时间受限 DoS 攻击下非线性系统的事件触发数据驱动控制

本文针对拒绝服务 (DoS) 攻击下未知非线性系统的事件触发模型自由自适应控制 (MFAC) 问题,在数据驱动框架下讨论了设计和分析。首先,通过使用新颖的伪偏导数,将非线性系统转换为等效的数据关系模型。然后,DoS 攻击被描述为受其频率和持续时间的限制,并且没有关于攻击结构或策略的任何更具体的假设。接下来,提出了一种新的事件触发的 MFAC 方案。运用李雅普诺夫稳定性理论,对稳定性能进行了分析。此外,还设计了一种补偿算法来对抗DoS攻击带来的不利影响。最后,
更新日期:2022-12-29
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