Data‐driven lithium‐ion battery states estimation using neural networks and particle filtering
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Novel Algorithm for Quantized Particle Filtering With Multiple Degrading Sensors: Degradation Estimation and Target Tracking
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Resampling and Network Theory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3146051
Abstract: Particle filtering provides an approximate representation of a tracked posterior density which converges asymptotically to the true posterior as the number of particles used increases. The greater the number of particles, the higher the computational… read more here.
Keywords: information; network; particle filter; resampling network ... See more keywords
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3212318
Abstract: In this paper, the particle filtering problem is investigated for a class of stochastic systems with multiple sensors under signal relays. To improve the performance of signal transmissions, a relay is deployed between each sensor… read more here.
Keywords: decode forward; forward decode; particle filtering; particle ... See more keywords