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   Articles with "particle filtering" as a keyword



Data‐driven lithium‐ion battery states estimation using neural networks and particle filtering

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recommendations! Published in 2019 at "International Journal of Energy Research"

DOI: 10.1002/er.4820

Abstract: The state of charge and state of health estimations are two of the most crucial functions of a battery management system, which are the quantified evaluation of driving mileage and remaining useful life of electric… read more here.

Keywords: battery states; states estimation; data driven; battery ... See more keywords

Particle-filtering-based failure prognosis via sigma-points: Application to Lithium-Ion battery State-of-Charge monitoring

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recommendations! Published in 2017 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2016.08.029

Abstract: Abstract This paper presents a novel prognostic method that allows a proper characterization of the uncertainty associated with the evolution in time of nonlinear dynamical systems. The method assumes a state-space representation of the system,… read more here.

Keywords: state; filtering based; prognosis; sigma points ... See more keywords

Wrapped Particle Filtering for Angular Data

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3200478

Abstract: Particle filtering is probably the most widely accepted methodology for general nonlinear filtering applications. The performance of a particle filter critically depends on the choice of proposal distribution. In this paper, we propose using a… read more here.

Keywords: proposal; wrapped normal; distribution; angular data ... See more keywords

Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3548424

Abstract: The auxiliary particle filter, which is the popular extension of the standard bootstrap particle filter, is known to assist in drawing particles from regions of high probability mass of the posterior density by leveraging the… read more here.

Keywords: particle filter; particle; auxiliary particle; particle filtering ... See more keywords

Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks

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recommendations! Published in 2022 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2021.3064920

Abstract: This article is concerned with the secure particle filtering problem for a class of discrete-time nonlinear cyber-physical systems with binary sensors in the presence of non-Gaussian noises and multiple malicious attacks. The multiple attacks launched… read more here.

Keywords: physical systems; secure particle; cyber physical; multiple attacks ... See more keywords

An Optimal Control Approach to Particle Filtering on Lie Groups

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recommendations! Published in 2022 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2022.3232562

Abstract: We study the filtering problem over a Lie group that plays an important role in robotics and aerospace applications. We present a new particle filtering algorithm based on stochastic control. In particular, our algorithm is… read more here.

Keywords: problem; lie; control; particle filtering ... See more keywords

Interactive-Multiple-Model Algorithm Based on Minimax Particle Filtering

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recommendations! Published in 2020 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2019.2954000

Abstract: In this letter, we propose a new approach to tracking a target that maneuvers based on the multiple-constant-turns model. Usually, the interactive-multiple-model (IMM) algorithm based on the extended Kalman filter (IMM-EKF) is employed for this… read more here.

Keywords: imm; model; algorithm based; interactive multiple ... See more keywords

Lightweight Marginalized Particle Filtering With Enhanced Consistency for Terrain Referenced Navigation

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recommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2021.3135233

Abstract: This article proposes a computationally lightweight marginalized particle filtering (MPF) algorithm with improved filter consistency. For mixed linear/nonlinear state-space models such as terrain referenced navigation (TRN) models, an MPF can improve the convergence and efficiency… read more here.

Keywords: consistency; particle filtering; terrain referenced; marginalized particle ... See more keywords

Multisensor Particle Filtering for Nonlinear Complex Networks With Heterogeneous Measurements Under Non-Gaussian Noises.

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recommendations! Published in 2025 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2025.3623631

Abstract: In this article, the multisensor particle filtering problem is investigated for a class of nonlinear complex networks with multirate heterogeneous measurements. The underlying complex networks are subject to non-Gaussian noises and randomly switching couplings, while… read more here.

Keywords: multisensor particle; nonlinear complex; particle; heterogeneous measurements ... See more keywords

A Novel Algorithm for Quantized Particle Filtering With Multiple Degrading Sensors: Degradation Estimation and Target Tracking

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3176910

Abstract: This article addresses the particle filtering problem for a class of nonlinear/non-Gaussian systems with quantized measurements and multiple degrading sensors. A degradation variable described by the Wiener process is proposed to describe the phenomenon of… read more here.

Keywords: particle filtering; degrading sensors; sensors degradation; target tracking ... See more keywords

Protocol-Based Particle Filtering for Nonlinear Complex Networks: Handling Non-Gaussian Noises and Measurement Censoring

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recommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"

DOI: 10.1109/tnse.2022.3205553

Abstract: In this paper, the particle filtering problem is investigated for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations stem from the on-off stochastic… read more here.

Keywords: complex networks; nonlinear complex; protocol; particle filtering ... See more keywords