Results 11 to 20 of about 148,393 (248)
Sensors, 2023 This paper proposes an adaptive distributed hybrid control approach to investigate the output containment tracking problem of heterogeneous wide-area networks with intermittent communication. First, a clustered network is modeled for a wide-area scenario.
Yanpeng Shi +2 more
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Smoothness adaptive average derivative estimation [PDF]
The Econometrics Journal, 2010 Summary: Many important models utilize estimation of average derivatives of the conditional mean function. Asymptotic results in the literature on density weighted average derivative estimators (ADE) focus on convergence at parametric rates; this requires making stringent assumptions on the smoothness of the underlying density; here we derive ...
Marcia M Schafgans +1 more
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Computationally efficient direction of arrival estimation using adaptive grid selection
IET Radar, Sonar & Navigation, 2023 The authors propose a computationally efficient approach to estimate the directions of arrival of far‐field sources impinging on a sensor array. The proposed estimator is formed using a sparse reconstruction framework, employing a novel adaptive grid ...
Yanan Wu, Andreas Jakobsson, Lutao Liu
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Vojnotehnički Glasnik, 2006 U radu su opisani kinematski modeli estimacije daljine cilja, dobijene obradom video snimaka u toku praćenja. Analizirani su uticaji šuma procesa na veličinu grešaka estimacije daljine i predložen je metod adaptacije modela, podešavanjem nivoa šuma ...
Dragoslav Ugarak
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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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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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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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