停留时间
控制理论(社会学)
计算机科学
模糊逻辑
模糊控制系统
事件(粒子物理)
控制(管理)
人工智能
医学
物理
量子力学
临床心理学
作者
Cong Wei,Xiangpeng Xie,Jiayue Sun,Ju H. Park
标识
DOI:10.1109/tfuzz.2024.3364754
摘要
This paper aims to develop a dynamic-memory event-triggered mechanism (DMETM) for Takagi-Sugeno (T-S) fuzzy switched systems under denial-of-service (DoS) attacks. Persistent dwell-time (PDT) is used to describe the characteristics of both DoS attacks and switching behaviours. The usage of PDT allows high-frequency switching and attacking phenomenon during certain intervals. Meanwhile, the DMETM is designed to screen for more effective triggering instants and reduce signal transmission frequency. The dynamic triggering conditions vary based on both the latest triggering data and historical triggering data simultaneously. By combining the DMETM and the acknowledgement character technique (ACK), the system can detect the initial and end instants of DoS attacks to improve control performance. Besides, a dual Lyapunov function is constructed and sufficient conditions for input-to-state stability (ISS) of nonlinear switched systems (NSSs) are derived. Finally, simulation verification is conducted in a nonlinear DC microgrid, illustrating feasibility and effectiveness of the DMETM.
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