Articles with "unscented kalman" as a keyword



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A wavelet transform‐adaptive unscented Kalman filter approach for state of charge estimation of LiFePo4 battery

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Published in 2018 at "International Journal of Energy Research"

DOI: 10.1002/er.3842

Abstract: Summary LiFePo4 battery is widely used in electric vehicles; however, its flatness and hysteresis of the open-circuit voltage curve pose a big challenge to precise state of charge (SOC) estimation. The issue is discussed and… read more here.

Keywords: unscented kalman; kalman filter; lifepo4 battery;
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Distributed maximum correntropy unscented Kalman filtering with state equality constraints

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Published in 2021 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5677

Abstract: This article investigates the distributed maximum correntropy unscented Kalman filtering problem for nonlinear systems via a sensor network. The system dynamics is subject to state equality constraints and non‐Gaussian noise. By utilizing the maximum correntropy… read more here.

Keywords: distributed maximum; state; unscented kalman; maximum correntropy ... See more keywords
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Blind adaptive constrained constant modulus algorithms based on unscented Kalman filter for beamforming

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Published in 2017 at "Journal of Central South University"

DOI: 10.1007/s11771-017-3646-y

Abstract: This work proposes constrained constant modulus unscented Kalman filter (CCM-UKF) algorithm and its low-complexity version called reduced-rank constrained constant modulus unscented Kalman filter (RR-CCM-UKF) algorithm for blind adaptive beamforming. In the generalized sidelobe canceller (GSC)… read more here.

Keywords: kalman; constrained constant; constant modulus; unscented kalman ... See more keywords
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Adaptive Unscented Kalman Filter Based Estimation and Filtering for Dynamic Positioning with Model Uncertainties

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Published in 2019 at "International Journal of Control, Automation and Systems"

DOI: 10.1007/s12555-018-9503-4

Abstract: A novel adaptive unscented Kalman filter (AUKF) is presented and applied to ship dynamic positioning (DP) system with model uncertainties of time-varying noise statistics, model mismatch and slow varying drift forces. The adaptive algorithm is… read more here.

Keywords: adaptive unscented; dynamic positioning; covariance; kalman filter ... See more keywords
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Robot Tracking in SLAM with Masreliez-Martin Unscented Kalman Filter

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Published in 2020 at "International Journal of Control, Automation and Systems"

DOI: 10.1007/s12555-019-0669-1

Abstract: The simultaneous localization and mapping (SLAM) is a significant topic in intelligent robot. In this paper, a robot tracking algorithm in SLAM with Masreliez-Martin unscented Kalman filter (MMUKF) is proposed. A robot dynamic model based… read more here.

Keywords: slam masreliez; masreliez martin; unscented kalman; kalman filter ... See more keywords
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Multi-rate unscented Kalman filtering for pose and curvature estimation in 3D ultrasound-guided needle steering

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Published in 2018 at "Control Engineering Practice"

DOI: 10.1016/j.conengprac.2018.08.014

Abstract: This paper presents a new method for estimating the needle pose and curvature in the context of robotically steered needles. The needle tip trajectory is represented by a modified unicycle kinematic model. A multi-rate unscented… read more here.

Keywords: rate unscented; unscented kalman; needle steering; pose curvature ... See more keywords
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Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters

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Published in 2017 at "Engineering Structures"

DOI: 10.1016/j.engstruct.2016.11.038

Abstract: Abstract A damage detection methodology is proposed by integrating a nonlinear recursive filter and a non-contact computer vision based algorithm to measure structural dynamic responses. A phase-based optical flow algorithm inspired by the motion magnification… read more here.

Keywords: damage detection; methodology; unscented kalman; damage ... See more keywords
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State of charge estimation by multi-innovation unscented Kalman filter for vehicular applications

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Published in 2020 at "Journal of energy storage"

DOI: 10.1016/j.est.2020.101978

Abstract: Abstract Vehicle to grid technology is no longer a fiction but rather a reality. Due to recent technological advances in bidirectional power transfer, EVs could serve not just as transportation tools but also as electric… read more here.

Keywords: state; multi innovation; unscented kalman; innovation ... See more keywords
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The J-Orthogonal Square-Root MATLAB-Based Continuous-Discrete Unscented Kalman Filtering Method

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Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.1083

Abstract: The paper suggests a general solution to the square-rooting problem existed for the Unscented Kalman Filter (UKF) since its appearance in the late 1990s. As properly noted in engineering literature, the previously suggested Cholesky-based UKF… read more here.

Keywords: square root; root; orthogonal square; unscented kalman ... See more keywords
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State Estimation in Type 2 Diabetes Using The Continuous-Discrete Unscented Kalman Filter

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Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.754

Abstract: Abstract Using a nonlinear model for the glucose-insulin dynamics in type 2 diabetes, formulated in continuous-time as a stochastic differential equation, we seek to estimate the system states and parameters based only on discrete-time self-monitored… read more here.

Keywords: continuous discrete; type diabetes; kalman filter; estimate ... See more keywords
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A differentially private square root unscented Kalman filter for protecting process parameters in ICPSs.

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Published in 2020 at "ISA transactions"

DOI: 10.1016/j.isatra.2019.12.010

Abstract: Industrial cyber-physical systems (ICPSs) have received increasing attention from both academia and industry. However, the privacy-utility trade-off of process parameters is still a challenge in the ICPSs. To address this challenge, a Kalman filter-based differential… read more here.

Keywords: kalman filter; unscented kalman; process parameters;