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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.109
Abstract: Abstract Recently, security issues in wireless sensor networks (WSNs) have attracted lots of attention. It is necessary to design effective measures against the attacker. In this paper, a novel distributed state estimator with an event-triggered…
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Keywords:
attack;
event based;
estimator;
event ... See more keywords
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Published in 2020 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1752843
Abstract: This paper focuses on the non-fragile distributed state estimation of discrete-time nonlinear systems over sensor networks subject to DoS attacks, whose probabilistic characterisations are adopted to reflect the reality better. On the basis of considering…
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Keywords:
non fragile;
dos attacks;
state estimation;
distributed state ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3588884
Abstract: This article investigates secure distributed state estimation in wireless sensor networks (WSNs), where the transmission of sensitive observed states among decentralized sensor nodes risks being intercepted by eavesdroppers, potentially exposing critical system information. To address…
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Keywords:
distributed state;
sensor;
privacy;
enhanced privacy ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3602130
Abstract: This article concerns distributed state estimation for nonlinear uncertain systems under bandwidth constraints and subject to denial-of-service (DoS) attacks. Different from most of the existing researches that assume unbounded sensing ranges and Gaussian white noises,…
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Keywords:
distributed state;
estimation nonlinear;
estimation;
dos ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3526092
Abstract: This paper presents the consensus iterated posterior linearisation filter (IPLF) for distributed state estimation. The consensus IPLF algorithm is based on a measurement model described by its conditional mean and covariance given the state, and…
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Keywords:
consensus;
distributed state;
consensus iterated;
state ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3165425
Abstract: In this article, the problem of distributed state estimation for a continuous-time linear system with a sensor network is investigated, where each sensor can only communicate with its neighbors and contains time-correlated measurement noise. To…
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Keywords:
time;
estimation continuous;
state estimation;
distributed state ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3586303
Abstract: Distributed sensor networks face security challenges since the state estimates between adjacent sensors may be tampered or monitored by attackers. Once the attack bypasses the detection mechanism and is integrated into the distributed state estimation,…
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Keywords:
distributed state;
attack;
based double;
state ... See more keywords
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Published in 2023 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2022.3203360
Abstract: This article studies the resilient distributed state estimation over the sensor networks under measurement attacks, which make the measurements of variant subsets of sensors aberrant at different time instants. For this problem, while most of…
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Keywords:
time;
state;
state estimation;
distributed state ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3109884
Abstract: In this brief, the distributed state and parameter estimation problem is addressed for a class of discrete-time nonlinear systems subject to sensor saturations over wireless sensor networks. In this regard, a novel estimation design is…
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Keywords:
sensor saturations;
wireless sensor;
sensor networks;
distributed state ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3372020
Abstract: This brief proposes a compressed distributed Kalman filter to cooperatively estimate the sparse state vector of a dynamic system with general stochastic coefficients. Based on the compressed sensing theory and the diffusion strategy, each sensor…
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Keywords:
distributed state;
sparse;
estimation;
compressed sensing ... See more keywords
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Published in 2019 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2018.2866556
Abstract: In this paper, we focus on the distributed state estimation of nonlinear systems comprised of several subsystems. We assume that a decentralized state estimation system already exists for the nonlinear system, where the local estimators…
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Keywords:
estimation network;
distributed state;
state estimation;
state ... See more keywords