Mean-shift-based robust distributed set-membership fusion filtering for sensor network systems with outliers

IF 4.8 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2025-04-26 DOI:10.1016/j.automatica.2025.112345

Hongbo Zhu , Minane Joel Villier Amuri , Jinzhong Shen , Xueyang Li

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引用次数: 0

Abstract

Outliers can contaminate the communication and measurement processes of many sensor network systems, which may be induced by environmental disturbances, model uncertainties, sensor faults or errors, subnetwork faults or malicious cyberattacks. Once the distributed set-membership filter (DSMF) is used into such sensor network systems with outliers for distributed state estimation, the estimation performance can be seriously degraded in each sensor node. To address this problem, this article proposes a mean-shift-based trust set and zonotope extraction mechanism to modify the zonotopic DSMF toward building resilience and robustness against outliers. The proposed mechanism is capable of sifting out the outlier-contaminated local corrected zonotopes, and a sufficient condition for the full effectiveness of it is given and proved. Based on the proposed mechanism, the mean-shift-based outliers-robust zonotopic DSMF (MSRDSMF) is derived for estimating the state of a sensor network system in a distributed way. Simulation experiment results demonstrate the practical validity and superiority of the MSRDSMF in effectively suppressing the effects of outliers.

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具有异常值的传感器网络系统基于均值漂移的鲁棒分布集隶属度融合滤波

由于环境干扰、模型不确定性、传感器故障或错误、子网故障或恶意网络攻击等原因，异常值会污染许多传感器网络系统的通信和测量过程。在这种带有离群值的传感器网络系统中使用分布式集隶属度滤波器（DSMF）进行分布式状态估计，会严重降低每个传感器节点的估计性能。为了解决这一问题，本文提出了一种基于均值漂移的信任集和分区提取机制，以修改分区DSMF，以建立针对异常值的弹性和鲁棒性。所提出的机制能够筛选出离群污染的局部校正带体，并给出并证明了该机制完全有效的充分条件。在此基础上，推导了基于均值漂移的离群鲁棒分带分布离散状态估计函数（MSRDSMF），用于传感器网络系统的分布式状态估计。仿真实验结果证明了MSRDSMF在有效抑制异常值影响方面的实用性和优越性。

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

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.