Articles with "kalman filtering" as a keyword



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Reservoir history matching using constrained ensemble Kalman filtering

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Published in 2018 at "Canadian Journal of Chemical Engineering"

DOI: 10.1002/cjce.22965

Abstract: The high heterogeneity of petroleum reservoirs, represented by their spatially varying rock properties (porosity and permeability), greatly dictates the quantity of recoverable oil. In this work, the estimation of the spatial permeability distribution, which is… read more here.

Keywords: estimation; kalman filtering; history matching; ensemble kalman ... See more keywords
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POD–Kalman filtering for improving noninvasive 3D temperature monitoring in MR‐guided hyperthermia

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Published in 2022 at "Medical Physics"

DOI: 10.1002/mp.15811

Abstract: Abstract Background During resonance frequency (RF) hyperthermia treatment, the temperature of the tumor tissue is elevated to the range of 39–44°C. Accurate temperature monitoring is essential to guide treatments and ensure precise heat delivery and… read more here.

Keywords: temperature; kalman filtering; thermometry; pod kalman ... See more keywords
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Maximum‐correntropy‐based Kalman filtering for time‐varying systems with randomly occurring uncertainties: An event‐triggered approach

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Published in 2020 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5368

Abstract: In this article, the maximum‐correntropy‐based Kalman filtering problem is investigated for a class of linear time‐varying systems in the presence of non‐Gaussian noises and randomly occurring uncertainties (ROUs). The random nature of the parameter uncertainties… read more here.

Keywords: kalman filtering; event; based kalman; time varying ... See more keywords
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Consensus‐based unscented Kalman filtering over sensor networks with communication protocols

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

DOI: 10.1002/rnc.5614

Abstract: This article is concerned with the consensus‐based distributed filtering problem for a class of general nonlinear systems over sensor networks with communication protocols. In order to avoid data collisions, the stochastic protocol and the Round‐Robin… read more here.

Keywords: kalman filtering; consensus based; sensor networks; communication protocols ... See more keywords
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On-board orbit determination for low thrust LEO-MEO transfer by Consider Kalman Filtering and multi-constellation GNSS

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Published in 2017 at "Acta Astronautica"

DOI: 10.1016/j.actaastro.2017.05.029

Abstract: Abstract In the framework of the novel navigation scenario offered by the next generation satellite low thrust autonomous LEO-to-MEO orbit transfer, this study proposes and tests a GNSS based navigation system aimed at providing on-board… read more here.

Keywords: kalman filtering; leo meo; low thrust; transfer ... See more keywords
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Evaluation of Husain et al.: On the Use of Kalman Filtering by Cells.

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Published in 2019 at "Cell systems"

DOI: 10.1016/j.cels.2019.11.003

Abstract: One snapshot of the peer review process for "Kalman-like Self-Tuned Sensitivity in Biophysical Sensing" (Husain et al., 2019). read more here.

Keywords: kalman filtering; kalman; use kalman; evaluation husain ... See more keywords
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Performance evaluation of nonlinear Kalman filtering techniques in low speed brushless DC motors driven sensor-less positioning systems

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Published in 2017 at "Control Engineering Practice"

DOI: 10.1016/j.conengprac.2017.01.004

Abstract: Abstract Appropriate position estimation of electric actuator is one of the most important stages in the control and automation processes. Considering various applications including robotics and automotive systems, Brushless DC (BLDC) motors sensor-less positioning is… read more here.

Keywords: kalman filtering; sensor less; performance; less positioning ... See more keywords
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Distributed consensus-based Kalman filtering considering subspace decomposition

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Published in 2017 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2017.08.443

Abstract: Abstract The aim of this paper is to provide a new observer structure able to deal with the distributed estimation of a discrete-time linear system from a network of agents. The main result is an… read more here.

Keywords: distributed consensus; consensus based; kalman filtering; consensus ... See more keywords
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Kalman filtering for energy disaggregation

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Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.06.219

Abstract: Abstract Providing the users information on the energy consumed in the household at the appliance level is of major importance for increasing their awareness of their consumption behavior. In this paper, we propose a technique… read more here.

Keywords: disaggregation; kalman filtering; energy; energy disaggregation ... See more keywords
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A high-efficiency Kalman filtering imaging mode for an atomic force microscopy with hysteresis modeling and compensation

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Published in 2018 at "Mechatronics"

DOI: 10.1016/j.mechatronics.2018.01.010

Abstract: Abstract With the rapid development of nano-science, an atomic force microscopy (AFM) has been playing an increasingly important role in many fields. Nevertheless, hysteresis nonlinearity of a piezoelectric scanner affects the positioning accuracy and then… read more here.

Keywords: kalman filtering; microscopy; hysteresis modeling; force microscopy ... See more keywords
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Effective Kalman filtering algorithm for distributed multichannel speech enhancement

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.05.048

Abstract: Abstract Kalman filtering is known as an effective speech enhancement technique. Many Kalman filtering algorithms for single channel speech enhancement were developed in past decades. However, the Kalman filtering algorithm for multichannel speech enhancement is… read more here.

Keywords: distributed multichannel; multichannel speech; speech enhancement; kalman filtering ... See more keywords