Track Fusion Fractional Kalman Filter for the Multisensor Descriptor Fractional Systems. [PDF]
Comput Intell Neurosci, 2022 The purpose of this study was to investigate the state estimation problem for the multisensor descriptor fractional systems. Firstly, the descriptor fractional order system was transformed into two nondescriptor fractional order subsystem based on the singular value decomposition method; then, the descriptor fractional Kalman filters for the subsystems
Zhang B, Shen H, Yan G, Sun X.
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A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS [PDF]
SensorsTo address the issue of reduced accuracy or even divergence in micro-electro-mechanical inertial navigation systems’/global navigation satellite systems’ (MINSs’/GNSSs’) integrated navigation systems caused by small amplitude fault in GNSS measurement ...
Mingze Zhang, Aigong Xu
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Fractional central difference Kalman filter with unknown prior information [PDF]
Signal Processing, 2019 Abstract In this paper, a generalized fractional central difference Kalman filter for nonlinear discrete fractional dynamic systems is proposed. Based on the Stirling interpolation formula, the presented algorithm can be implemented as no derivatives are needed.
Tianyu Liu +2 more
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The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion
Complexity, 2018 A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the
Guangyue Xue +3 more
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Sensors, 2021 In this paper, a method for states, parameters, and fractional order estimation is presented. The proposed method is an extension of the traditional dual estimation method and uses three blocks of filters with appropriate data interconnections.
Dominik Sierociuk, Michal Macias
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Optimized Fractional-Order Extended Kalman Filtering for IMU-Based Attitude Estimation Using the Hippopotamus Algorithm [PDF]
SensorsThe performance of the Fractional-order Extended Kalman Filter (FEKF) is often constrained by the manual tuning of its fractional-order parameter. This paper proposes HO-FEKF, a novel framework that integrates the Hippopotamus Optimization (HO) algorithm
Xiaoping Yang +5 more
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Alexandria Engineering Journal, 2020 In this paper, a Fractional-Order Extended Kalman Filter (FOEKF) to estimate the State-of-Charge (SOC) of a LiFePO4 battery is proposed. Today there is no sensor to measure the state of charge, due to this, it is necessary to use various methods to ...
J.I. Hidalgo-Reyes +4 more
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Analysis of a safe utilization algorithm for retired power batteries from new energy vehicles [PDF]
HeliyonThe graded utilization of waste batteries has gained research significance due to recent reports of new energy vehicle lithium-ion batteries exploding whilst awaiting recycling or in end-of-life storage.
Daobao Luo, Jianguo Han, Xin Hu
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Fractional-Order Identification of Gyroscope MEMS Noise Under Various Temperature Conditions [PDF]
SensorsThis paper deals with identifying the fractional-order noise parameters for MEMS gyroscopes under various temperature conditions. The significant contribution of the paper is to investigate the relation between the fractional noise model of MEMS devices ...
Dominik Sierociuk +2 more
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Joint estimation of SOC and SOH for lithium-ion batteries based on FOAMIUHF-UKF model [PDF]
Scientific ReportsAccurate and rapid estimation of power battery state of charge (SOC) and state of health (SOH) is crucial for ensuring the safe and reliable operation of electric vehicles. A joint SOC and SOH estimation method proposed in the study based on a fractional-
Zheng Ye +10 more
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