基于观测器的 DoS 攻击下离散时间半马尔可夫开关电力系统异步控制

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Wenhai Qi;Mingxuan Sha;Ju H. Park;Zheng-Guang Wu;Huaicheng Yan
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引用次数: 0

摘要

本文关注随机拒绝服务(DoS)攻击下基于观测器的离散隐式半马尔可夫开关电源系统异步控制。考虑到控制器与系统之间的不匹配行为,基于观测器模型设计的控制器与系统异步运行。为描述这种不匹配行为,引入了隐藏随机切换模型。由于在实践中很难获得有关半马尔可夫核(SMK)的完整信息,与隐藏模式相关的底层系统 SMK 中的元素被认为是不完全已知的。接下来,针对随机 DoS 攻击和不完整 SMK,利用随机 Lyapunov 函数提出了基于观测器模型的异步控制器的存在条件,并保证了闭环系统的均方稳定。最后,通过实例验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-Based Asynchronous Control of Discrete-Time Semi-Markov Switching Power Systems Under DoS Attacks
This article is concerned with the observer-based asynchronous control for discrete hidden semi-Markov switching power systems under random denial-of-service (DoS) attacks. Considering the mismatched behavior between the controller and the system, the designed controller based on the observer model runs asynchronously with the system. The hidden stochastic switching model is introduced to characterize this mismatched behavior. Due to the difficulty in obtaining complete information about the semi-Markov kernel (SMK) in practice, the elements in the SMK of the underlying system associated with the hidden mode are considered to be incompletely known. Next, regarding the random DoS attacks and incomplete SMK, the conditions on the existence of the asynchronous controller based on the observer model are proposed by employing the stochastic Lyapunov function, and the closed-loop system is guaranteed to be mean-square stable. Finally, the effectiveness of the proposed scheme is validated through an example.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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