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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…
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Keywords:
estimation;
kalman filtering;
history matching;
ensemble kalman ... See more keywords
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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…
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Keywords:
temperature;
kalman filtering;
thermometry;
pod kalman ... See more keywords
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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…
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Keywords:
kalman filtering;
event;
based kalman;
time varying ... See more keywords
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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…
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Keywords:
kalman filtering;
consensus based;
sensor networks;
communication protocols ... See more keywords
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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…
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Keywords:
kalman filtering;
leo meo;
low thrust;
transfer ... See more keywords
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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).
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Keywords:
kalman filtering;
kalman;
use kalman;
evaluation husain ... See more keywords
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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…
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Keywords:
kalman filtering;
sensor less;
performance;
less positioning ... See more keywords
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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…
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Keywords:
distributed consensus;
consensus based;
kalman filtering;
consensus ... See more keywords
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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…
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Keywords:
disaggregation;
kalman filtering;
energy;
energy disaggregation ... See more keywords
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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…
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Keywords:
kalman filtering;
microscopy;
hysteresis modeling;
force microscopy ... See more keywords
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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…
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Keywords:
distributed multichannel;
multichannel speech;
speech enhancement;
kalman filtering ... See more keywords