Two-stage recursive least squares parameter estimation algorithm for output error models
type: Item
instance of: scholarly article
title: Two-stage recursive least squares parameter estimation algorithm for output error models
zbMATH Open document ID: 1255.93133
author: Honghong Duan
author: Jie Jia
author: Ruifeng Ding
published in: Mathematical and Computer Modelling
publication date: 2013-01-24T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E24
zbMATH DE Number: 6128902
zbMATH Keywords: least squares
zbMATH Keywords: two-stage algorithm
zbMATH Keywords: auxiliary model
zbMATH Keywords: decomposition technique
MaRDI profile type: Publication
full work available at URL: j.mcm.2011.09.039
OpenAlex ID: W2006945230
cites work: An iterative algorithm for solving a pair of matrix equations \(AYB=E\), \(CYD=F\) over generalized centro-symmetric matrices
cites work: Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations
cites work: Computing matrix functions using mixed interpolation methods
cites work: Finite iterative algorithms for the reflexive and anti-reflexive solutions of the matrix equation \(A_1X_1B_1+A_2X_2B_2=C\)
cites work: An efficient algorithm for solving general coupled matrix equations and its application
cites work: Least-squares parameter estimation for systems with irregularly missing data
cites work: Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
cites work: Parameter estimation with scarce measurements
cites work: Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
cites work: Bias compensation methods for stochastic systems with colored noise
cites work: Combined parameter and output estimation of dual-rate systems using an auxiliary model
cites work: Identification of dual-rate systems based on finite impulse response models
cites work: Parameter estimation of dual-rate stochastic systems by using an output error method
cites work: Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
cites work: Identification of Hammerstein nonlinear ARMAX systems
cites work: Gradient-based identification methods for Hammerstein nonlinear ARMAX models
cites work: Performance analysis of multi-innovation gradient type identification methods
cites work: Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
cites work: Self-tuning control based on multi-innovation stochastic gradient parameter estimation
cites work: Identification for multirate multi-input systems using the multi-innovation identification theory
cites work: Multi-innovation extended stochastic gradient algorithm and its performance analysis
cites work: Hierarchical gradient-based identification of multivariable discrete-time systems
cites work: Hierarchical least squares identification methods for multivariable systems
cites work: Hierarchical identification of lifted state-space models for general dual-rate systems
cites work: Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
cites work: Hierarchical least-squares based iterative identification for multivariable systems with moving average noises
cites work: Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
cites work: Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems
cites work: Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model
cites work: A two-stage algorithm for identification of nonlinear dynamic systems
cites work: Use of two-stage least-squares algorithms for identification of continuous systems with time delay based on pulse responses
cites work: Estimating multivariate ARCH parameters by two-stage least-squares method
cites work: Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
cites work: On consistency of recursive least squares identification algorithms for controlled auto-regression models
cites work: Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
cites work: Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
cites work: Least squares based and gradient based iterative identification for Wiener nonlinear systems
cites work: Auxiliary model identification method for multirate multi-input systems based on least squares
cites work: Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
cites work: The residual based interactive stochastic gradient algorithms for controlled moving average models
cites work: The residual based interactive least squares algorithms and simulation studies
cites work: Q5689624
cites work: Kalman filter‐based adaptive control for networked systems with unknown parameters and randomly missing outputs
cites work: \(l_2-l_\infty\) filtering for multirate systems based on lifted models
cites work: 2-norm based recursive design of transmultiplexers with designable filter length
cites work: Performance analysis of stochastic gradient algorithms under weak conditions
cites work: Performance analysis of estimation algorithms of nonstationary ARMA processes
cites work: Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data
cites work: Least squares based self‐tuning control of dual‐rate systems
cites work: Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling
cites work: Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
cites work: Bias compensation‐based parameter estimation for output error moving average systems
cites work: The residual based extended least squares identification method for dual-rate systems
cites work: Parameter identification of multi-input, single-output systems based on FIR models and least squares principle
cites work: Time series AR modeling with missing observations based on the polynomial transformation
cites work: Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering
DOI: 10.1016/J.MCM.2011.09.039
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