Results 21 to 30 of about 809,797 (292)
International Journal of Prognostics and Health Management, 2017 This paper deals with the design of a decentralized fault diagnosis and prognosis scheme for interconnected nonlinear discrete-time systems which are modelled as the interconnection of several subsystems.
H. Ferdowsi, S. Jagannathan
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IET Radar, Sonar & Navigation, 2022 Bearing‐only tracking of an underwater uncooperative target is essential to defend the sea territory. Considering the influences by uncertain underwater environment, the purpose of this work is to estimate 2‐D locations and velocities of an interested ...
Xianghao Hou +4 more
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IEEE Access, 2019 Recently, multi-sensor navigation has emerged as a viable approach in autonomous vehicles' development. Kalman filtering has been widely applied in multi-sensor data fusion, and researchers are trialing variants of the Kalman Filter (KF) to improve the ...
Wenwen Liu +2 more
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Localisation and classification of mixed far‐field and near‐field sources with sparse reconstruction
IET Signal Processing, 2022 A sparse reconstruction algorithm for the localisation of mixed near‐field and far‐field sources (MFNS) based on four‐order statistics is proposed in this study.
Meidong Kuang +4 more
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Adaptive Covariance Estimation with model selection [PDF]
, 2012 We provide in this paper a fully adaptive penalized procedure to select a covariance among a collection of models observing i.i.d replications of the process at fixed observation points. For this we generalize previous results of Bigot and al.
A. G. Journel +12 more
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Adaptive Warped Kernel Estimators [PDF]
Scandinavian Journal of Statistics, 2014 AbstractIn this work, we develop a method of adaptive non‐parametric estimation, based on ‘warped’ kernels. The aim is to estimate a real‐valued function s from a sample of random couples (X,Y). We deal with transformed data (Φ(X),Y), with Φ a one‐to‐one function, to build a collection of kernel estimators.
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IEEE AccessIn this paper, a novel steering control algorithm for semi-trailer trucks is proposed, which effectively incorporates the vehicle’s dynamic characteristics and compensates for lateral motion delays. To model the tractor and trailer, both kinematic
Geonyeong Park +2 more
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Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment
IET Radar, Sonar & Navigation, 2021 The measurement noise covariance R plays a vital role in the Kalman filter (KF) algorithm. Traditionally, a constant R is obtained by experience or experiments.
Bing Zhu +4 more
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Convergence of simple adaptive Galerkin schemes based on h − h/2 error estimators [PDF]
, 2008 We discuss several adaptive mesh-refinement strategies based on (h − h/2)-error estimation. This class of adaptivemethods is particularly popular in practise since it is problem independent and requires virtually no implementational overhead.
C. Carstensen +24 more
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Adaptive Kernel Density Estimation [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2003 This insert describes the module akdensity. akdensity extends the official kdensity that estimates density functions by the kernel method. The extensions are of two types: akdensity allows the use of an “adaptive kernel” approach with varying, rather than fixed, bandwidths; and akdensity estimates pointwise variability bands around the estimated ...
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