Hybrid Scheduling-Based Asynchronous H∞ Control for Markov Jump Power Systems With Cyber Attacks

IF 4.9 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2025-06-11 DOI:10.1109/TCSII.2025.3578663

Yi Lu;Xiru Wu;Yaonan Wang;Rili Wu;Yuhai Zhong;Jiexin Xie

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引用次数: 0

Abstract

This brief investigates the asynchronous

$H_{\infty }$

control problem of discrete-time hidden Markov jump power systems (hMJPSs) under cyber attacks. To precisely capture the dynamic characteristics of transient faults and circuit breaker switching in power systems, a hidden Markov jump process with unknown information is introduced. A hybrid scheduling protocol via event triggering is proposed to enhance the utilization of communication resources. By dynamically adjusting the data transmission frequency of sensor nodes, the protocol significantly reduces communication resource usage while maintaining

$H_{\infty }$

performance of the system. Additionally, considering the mode mismatched behavior between the power systems and the controllers, the asynchronous state-feedback controller is designed. Through the mode-dependent Lyapunov function, the sufficient conditions for the mean-square stability of hMJPSs are derived. Finally, the effectiveness and practicality of the proposed method are validated via simulation examples.

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网络攻击下马尔可夫跳变电力系统的混合调度异步H∞控制

本文研究了网络攻击下离散时间隐马尔可夫跳变电力系统的异步$H_{\infty }$控制问题。为了准确捕捉电力系统暂态故障和断路器切换的动态特性，引入了一种未知信息的隐马尔可夫跳变过程。为了提高通信资源的利用率，提出了一种基于事件触发的混合调度协议。该协议通过动态调整传感器节点的数据传输频率，在保持$H_{\infty }$系统性能的同时，显著降低了通信资源的占用。此外，考虑到电力系统与控制器之间的模式失匹配行为，设计了异步状态反馈控制器。通过与模相关的Lyapunov函数，导出了hMJPSs均方稳定性的充分条件。最后，通过仿真算例验证了该方法的有效性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.