服务拒绝攻击
网络数据包
控制理论(社会学)
计算机科学
模糊逻辑
分段
电力系统
事件(粒子物理)
理论(学习稳定性)
模糊控制系统
功率(物理)
边界(拓扑)
控制(管理)
数学
计算机网络
互联网
人工智能
数学分析
物理
量子力学
机器学习
万维网
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2023-04-27
卷期号:70 (7): 2995-3004
被引量:16
标识
DOI:10.1109/tcsi.2023.3268309
摘要
This paper addresses the fuzzy load frequency control (LFC) problem for nonlinear multiarea power systems subject to cross-layer denial-of-service (DoS) attacks and network resource constraints. A novel switched interval type-2 fuzzy power model with three modes is established to reflect the impact of cross-layer DoS attacks. Moreover, to save network resources, memory-based dynamic event-triggered mechanisms, whose threshold parameters and conditions fully utilize historical packets, are proposed. Then, the boundary information of multiple membership function samples combined with slack matrices is considered to facilitate stability analysis. Besides, the piecewise Lyapunov-Krasovskii functional approach is used to ensure the exponential stability of systems. Finally, the proposed resilient LFC strategy is demonstrated by three-area power systems.
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