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Published in 2017 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2017.03.011
Abstract: Abstract The paper considers a process Z t = ( X t , Y t ) where X t is the position of a particle and Y t its velocity, driven by a hypoelliptic bi-dimensional…
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Keywords:
stochastic damping;
observation;
damping hamiltonian;
estimation stochastic ... See more keywords
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Published in 2017 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2016.2633815
Abstract: This paper presents a novel identification technique for estimation of unknown parameters in photovoltaic (PV) systems. A single-diode model is considered for the PV system, which consists of five unknown parameters. Using information about standard…
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Keywords:
estimation;
estimation approach;
unknown parameters;
identification ... See more keywords
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Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3164394
Abstract: It is difficult to estimate the parameters of K-distribution in inhomogeneous reverberation or clutter, which usually consists of interferences such as strong scattering objects in sonar data or sea-spikes in radar data. In this article,…
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Keywords:
estimation;
adaptive estimation;
distribution;
shape parameter ... See more keywords
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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2882844
Abstract: This paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, the proposed method can directly estimate the unknown…
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Keywords:
varying parameters;
adaptive estimation;
estimation;
time varying ... See more keywords
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Published in 2022 at "Bernoulli"
DOI: 10.3150/21-bej1354
Abstract: We consider a linear model where the coefficients-intercept and slopes-are random and independent from regressors which support is a proper subset. When the density has finite weighted L 2 norm, for well chosen weights, the…
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Keywords:
estimation linear;
model;
random coefficients;
linear random ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020426
Abstract: This paper considers the problem of adaptive estimation of graph signals under the impulsive noise environment. The existing least mean squares (LMS) approach suffers from severe performance degradation under an impulsive environment that widely occurs…
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Keywords:
adaptive estimation;
graph signals;
welsch loss;
graph ... See more keywords