Results 21 to 30 of about 1,053,925 (307)

Online State-of-Health Estimation for Second-Use Lithium-Ion Batteries Based on Weighted Least Squares Support Vector Machine

open access: yesIEEE Access, 2021
Online state-of-health (SOH) estimation is critical for second-use retired lithium-ion batteries. However, the SOH of retired batteries is highly nonlinear, and the existing degradation trend data are limited.
Wei Xiong, Y. Mo, Cong Yan
semanticscholar   +1 more source

An Efficient Constrained Weighted Least Squares Method With Bias Reduction for TDOA-Based Localization

open access: yesIEEE Sensors Journal, 2021
This paper addresses the source location problem by using time-difference-of-arrival (TDOA) measurements. The two-stage weighted least squares (TWLS) algorithm has been widely used in the TDOA location.
Liang Zhang, Tao Zhang, Hyo-Sang Shin
semanticscholar   +1 more source

Markdown Optimization with Generalized Weighted Least Squares Estimation

open access: yesInternational Journal of Computational Intelligence Systems, 2022
Retailers increasingly apply price markdowns for their seasonal products. Efficiency of these markdown applications is driven by the accuracy of empirical models, especially toward the end of a selling season.
Mustafa Hekimoğlu
doaj   +1 more source

Wireless Sensor Network Localization Using AoA Measurements With Two-Step Error Variance-Weighted Least Squares

open access: yesIEEE Access, 2021
We propose a novel localization method using angle-of-arrival (AoA) measurements with two-step error variance-weighted least squares (TELS). The first step is to estimate a terminal location provisionally using least squares.
Futa Watanabe
semanticscholar   +1 more source

Resolving redundancy through a weighted damped least-squares solution [PDF]

open access: yesModeling, Identification and Control, 1993
Singularity robust redundancy resolution with task priority can be implemented using the extended Jacobian technique with weighted damped least-squares.
Jan R. Sagli   +2 more
doaj   +1 more source

Iterative Solution of Weighted Linear Least Squares Problems

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2020
In this report we show that the iterated regularization scheme due to Riley and Golub, sometimes also called the iterated Tikhonov regularization, can be generalized to damped least squares problems where the weights matrix D is not necessarily the ...
Carp Doina   +3 more
doaj   +1 more source

Parameter estimation of quantized DARMA systems using weighted least squares

open access: yesIET Control Theory & Applications, 2023
This paper is concerned with parameter estimate of deterministic autoregressive moving average (DARMA) systems with uniform quantized output observations.
Lida Jing
doaj   +1 more source

Comparison of straight line curve fit approaches for determining parameter variances and covariances

open access: yesInternational Journal of Metrology and Quality Engineering, 2020
Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
doaj   +1 more source

Identification of Switched ARX Systems using an Iterative Weighted Least Squares Algorithm [PDF]

open access: yesInternational Journal of Industrial Electronics, Control and Optimization, 2022
This paper presents a new algorithm for the identification of a specific class of hybrid systems. Hybrid System identification is a challenging problem since it involves the estimation of discrete and continuous states simultaneously.
Hamed Torabi, Hadi Keshvari-Khor
doaj   +1 more source

Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters

open access: yesRevstat Statistical Journal, 2015
Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity and/or correction problems and
Yeliz Mert Kantar
doaj   +1 more source

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