Results 21 to 30 of about 17,988 (163)

RECURSIVE DIFFERENCING FOR ESTIMATING SEMIPARAMETRIC MODELS

Econometric Theory, 2022
Controlling the bias is central to estimating semiparametric models. Many methods have been developed to control bias in estimating conditional expectations while maintaining a desirable variance order. However, these methods typically do not perform well at moderate sample sizes.
Chan Shen, Roger Klein
openaire   +2 more sources

Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation

IEEE Access, 2019
This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive noises. To reduce the influence of the colored noises on parameter estimates, we turn the original model into the new model with ...
Qinyao Liu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat   +3 more
doaj   +1 more source

Recursive estimators with Markovian jumps

Systems & Control Letters, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lirong Huang, Håkan Hjalmarsson
openaire   +2 more sources

Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines

Sensors, 2018
Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production.
Tamas Ruppert, Janos Abonyi
doaj   +1 more source

Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter

Remote Sensing, 2020
The differential code bias (DCB) of the Global Navigation Satellite Systems (GNSS) receiver should be precisely corrected when conducting ionospheric remote sensing and precise point positioning.
Liangliang Yuan, Shuanggen Jin, Mainul Hoque   +2 more
doaj   +1 more source

Recursive Bayesian Decoding in State Observation Models: Theory and Application in Quantum-Based Inference

Mathematics
Accurately estimating a sequence of latent variables in state observation models remains a challenging problem, particularly when maintaining coherence among consecutive estimates.
Branislav Rudić, Markus Pichler-Scheder, Dmitry Efrosinin   +2 more
doaj   +1 more source

Recursive versus nonrecursive Richardson algorithms: systematic overview, unified frameworks and application to electric grid power quality monitoring

Automatika, 2022
Sufficiently accurate, fast and computationally efficient solution of the system of linear equations is required in many estimation problems. Richardson iteration is one of the main solvers for linear equations, which provides optimization possibilities ...
Alexander Stotsky
doaj   +1 more source

Conceptual Design of an Online Estimation System for Stigmergic Collaboration and Nodal Intelligence on Distributed DC Systems

Advances in Electrical and Computer Engineering, 2017
The secondary level control of stand-alone distributed energy systems requires accurate online state information for effective coordination of its components.
DOORSAMY, W., CRONJE, W.
doaj   +1 more source

A Robust Recursive State Estimation Method for Uncertain Linear Discrete-Time Systems

Automation
This study presents a robust estimation approach for linear discrete-time systems subject to parametric uncertainties. To address model mismatch, the proposed method enhances the MHE framework, thereby improving estimation accuracy.
Jiehui Gao, Huabo Liu
doaj   +1 more source

Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems

Algorithms, 2017
This paper focuses on the recursive identification problems for a multivariate output-error system. By decomposing the system into several subsystems and by forming a coupled relationship between the parameter estimation vectors of the subsystems, two ...
Wu Huang, Feng Ding
doaj   +1 more source