符号
控制器(灌溉)
理论(学习稳定性)
自动频率控制
计算机科学
事件(粒子物理)
李雅普诺夫函数
指数函数
数学
控制理论(社会学)
离散数学
控制(管理)
算术
人工智能
电信
数学分析
机器学习
物理
量子力学
非线性系统
农学
生物
作者
Jing Wang,Dongji Wang,Lei Su,Ju H. Park,Hao Shen
标识
DOI:10.1109/tsmc.2022.3163261
摘要
This article aims at designing a dynamic event-triggered $\mathcal {H}_{\infty }$ load frequency controller for multi-area power systems affected by false data-injection attacks and denial-of-service attacks. A dynamic event-triggered scheme, whose threshold parameter varies with objective system states, is employed to make rational use of limited network bandwidth resources and improve the efficiency of the data utilization. Then, taking the impacts of the aforementioned hybrid cyber attacks into consideration, an attractive system model is established. Whereafter, several sufficient conditions, which can guarantee the exponential mean-square stability with a preset $\mathcal {H} _{\infty }$ performance index of the studied system, are obtained through utilizing Lyapunov stability theory. Additionally, the desired controller is designed via handling convex optimization problems. Finally, a simulation example is displayed to explain the validity of the proposed method.
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