Dynamic‐memory event‐based asynchronous security control for positive singular semi‐Markov jumping CPSs against multiple cyber‐attacks

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Zhipeng Li, Yanqian Wang, Guangming Zhuang, Zhibo Yang
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引用次数: 0

Abstract

This paper mainly studies the design of asynchronous controllers for positive singular semi‐Markov jump systems with performance under the dynamic‐memory event‐triggered. The positive singular semi‐Markov jump system model is established for the first time. And the dynamic‐memory event‐triggered transmission protocol is used to reduce network transmission pressure. Then, a unified cyber‐attack framework that includes DoS attacks and spoofing attacks is established. A simple hidden Markovian model (HMM) model is used to describe the asynchronous phenomena between the controller and the system. Considering the situation where all data cannot be accurately obtained in reality, a simple HMM is set as a partially unknown conditional probability matrix. Based on stochastic Lyapunov functional, the stochastically admissible conditions for the closed‐loop systems are obtained. Finally, a numerical example is given to verify the effectiveness of the proposed method.
针对多重网络攻击的正奇异半马尔科夫跃迁 CPS 的基于动态记忆事件的异步安全控制
本文主要研究正奇异半马尔可夫跳跃系统在动态记忆事件触发下性能的异步控制器设计。首次建立了正奇异半马尔可夫跳跃系统模型。并利用动态记忆事件触发传输协议来减轻网络传输压力。然后,建立了包括 DoS 攻击和欺骗攻击在内的统一网络攻击框架。使用简单的隐马尔可夫模型(HMM)来描述控制器与系统之间的异步现象。考虑到现实中无法准确获取所有数据的情况,简单的 HMM 被设定为部分未知的条件概率矩阵。基于随机 Lyapunov 函数,得到了闭环系统的随机可容许条件。最后,给出了一个数值示例来验证所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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