Iterative identification algorithm for Wiener nonlinear systems using the Newton method
type: Item
instance of: scholarly article
title: Iterative identification algorithm for Wiener nonlinear systems using the Newton method
zbMATH Open document ID: 1438.93229
author: Yongsong Xiao
author: Ruifeng Ding
author: Manman Liu
published in: Applied Mathematical Modelling
publication date: 2018-10-08T00:00:00Z
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6948906
zbMATH Keywords: parameter estimation
zbMATH Keywords: nonlinear systems
zbMATH Keywords: Wiener systems
zbMATH Keywords: Newton iteration
zbMATH Keywords: iterative identification
MaRDI profile type: Publication
full work available at URL: j.apm.2013.01.025
OpenAlex ID: W2073352488
cites work: Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities
cites work: Gradient-based identification methods for Hammerstein nonlinear ARMAX models
cites work: Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling
cites work: Self-tuning control based on multi-innovation stochastic gradient parameter estimation
cites work: IDENTIFICATION OF HAMMERSTEIN OUTPUT-ERROR SYSTEMS WITH TWO-SEGMENT NONLINEARITIES: ALGORITHM AND APPLICATIONS1
cites work: Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
cites work: Least squares based and gradient based iterative identification for Wiener nonlinear systems
cites work: Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
cites work: An iterative method for solving the generalized coupled Sylvester matrix equations over generalized bisymmetric matrices
cites work: Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations
cites work: Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle
cites work: Gradient based iterative solutions for general linear matrix equations
cites work: Iterative solutions to matrix equations of the form \(A_{i}XB_{i}=F_{i}\)
cites work: Performance analysis of estimation algorithms of nonstationary ARMA processes
cites work: Performance analysis of stochastic gradient algorithms under weak conditions
cites work: Parameter estimation with scarce measurements
cites work: Kalman filter-based identification for systems with randomly missing measurements in a network environment
cites work: Kalman filter‐based adaptive control for networked systems with unknown parameters and randomly missing outputs
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: Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data
cites work: Identification of Hammerstein nonlinear ARMAX systems
cites work: Identification for multirate multi-input systems using the multi-innovation identification theory
cites work: Auxiliary model identification method for multirate multi-input systems based on least squares
cites work: Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model
cites work: Two algorithms for finding the Hermitian reflexive and skew-Hermitian solutions of Sylvester matrix equations
cites work: A lower bound for the product of eigenvalues of solutions to matrix equations
cites work: An iterative numerical algorithm for modeling a class of Wiener nonlinear systems
cites work: Least squares based iterative identification for a class of multirate systems
cites work: The residual based interactive least squares algorithms and simulation studies
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: Iterative parameter identification methods for nonlinear functions
cites work: Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data
cites work: Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems
cites work: Multi-innovation extended stochastic gradient algorithm and its performance analysis
cites work: Model order determination using the Hankel matrix of impulse responses
cites work: Performance analysis of multi-innovation gradient type identification methods
cites work: Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
cites work: Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems
cites work: Maximum likelihood least squares identification for systems with autoregressive moving average noise
cites work: Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
cites work: Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
DOI: 10.1016/J.APM.2013.01.025
description: scientific article; zbMATH DE number 6948906