估计员
信息物理系统
趋同(经济学)
计算机科学
国家(计算机科学)
集合(抽象数据类型)
控制理论(社会学)
数学优化
算法
数学
人工智能
控制(管理)
经济
操作系统
统计
经济增长
程序设计语言
作者
Zahra Kazemi,Ali Akbar Safavi,Mohammad Mehdi Arefi,Farshid Naseri
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-08-01
卷期号:52 (8): 4950-4959
被引量:17
标识
DOI:10.1109/tsmc.2021.3106228
摘要
In this article, an efficient method for finite-time secure dynamic state estimation in cyber–physical systems (CPSs) subjected to unknown inputs and cyber-attacks is proposed. The proposed approach is based on a set of local finite-time state estimators operating over the subsets of sensory nodes, which are designed to estimate the states of the CPS subjected to unknown inputs. When cyber-attacks compromise some sensory nodes, the estimation results of the local finite-time estimators which use the measurements of the attacked sensors can be corrupted. An efficient detection algorithm is thus proposed to identify the valid local estimators that are completely devoid of the attacked sensory nodes. The information of the valid local estimators is then used to achieve secure state estimation and localization of the launched cyber-attack. The necessary and sufficient conditions for the feasibility and finite-time convergence of the proposed estimation mechanism are analytically derived and proven. The effectiveness of the proposed method is demonstrated by testing it on a dc electric motor. Likewise, some online software-in-the-loop tests are conducted to demonstrate the real-time feasibility of the proposed algorithm.
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