计算机科学
模糊集
模糊逻辑
主题(文档)
集合(抽象数据类型)
模糊控制系统
数据挖掘
计算机安全
人工智能
图书馆学
程序设计语言
作者
Mengni Du,Xiangpeng Xie,Hui Wang,Jianwei Xia,Mohammed Chadli
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-13
标识
DOI:10.1109/tfuzz.2024.3357135
摘要
This paper is concerned with the attack detection problem of T–S fuzzy systems with unknown but bounded (UBB) noise subject to malicious attacks via the set-membership estimation and a switching multi-mode high-order free-weighting matrix (SMHFM) method. Initially, the SMHFM is developed to address the so-called conservatism problem caused by the one-order free-weighting matrix (OFM) method. To solve this problem, the homogeneous polynomial technique is employed to introduce groups of free-weighting matrices for different switching modes. As a result, the SMHFM is synchronized with the working modes and possesses a high-order feature. Additionally, a switching multi-mode mechanism is implemented to enable the SMHFM to exhibit multiple modes. Time-variant balanced matrices are introduced for different switching modes to adjust the relevant matrix terms. This adjustment allows for obtaining more relaxed conditions, leading to smaller constraint sets and higher accuracy in state estimation. Furthermore, a zonotope-based set-membership (ZS) attack detection algorithm is introduced for T-S fuzzy systems, which is capable of detecting various types of attacks. By utilizing the proposed SMHFM method for attack detection, the level of conservatism in state estimation can be reduced. Finally, two simulation examples are given and some comparisons are made to validate the effectiveness of the proposed methods.
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