计算机科学
控制理论(社会学)
非线性系统
理论(学习稳定性)
服务拒绝攻击
补偿(心理学)
自适应控制
持续时间(音乐)
控制(管理)
人工智能
机器学习
文学类
艺术
万维网
物理
精神分析
互联网
量子力学
心理学
作者
Xuhui Bu,Wei Yu,Yanling Yin,Zhongsheng Hou
标识
DOI:10.1109/tifs.2022.3233154
摘要
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.
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