Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise
type: Item
instance of: scholarly article
title: Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise
zbMATH Open document ID: 1380.93271
author: Mengting Chen
author: Feng Ding
author: Ling Xu
author: Ahmed Alsaedi
author: Tasawar Hayat
published in: Journal of the Franklin Institute
publication date: 2018-02-05T00:00:00Z
Mathematics Subject Classification ID: 93E15
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93E24
zbMATH DE Number: 6834087
zbMATH Keywords: identification
zbMATH Keywords: bilinear-in-parameter system
zbMATH Keywords: autoregressive moving average noise
zbMATH Keywords: linear regressive model
zbMATH Keywords: gradient based algorithms
zbMATH Keywords: least squares based iterative algorithms
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2017.09.014
OpenAlex ID: W2760496020
cites work: Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling
cites work: A proportional differential control method for a time-delay system using the Taylor expansion approximation
cites work: Stabilization of bilinear sparse matrix control systems using periodic inputs
cites work: Quasi-min-max MPC for constrained nonlinear systems with guaranteed input-to-state stability
cites work: Parameter estimation algorithms for Hammerstein output error systems using Levenberg-Marquardt optimization method with varying interval measurements
cites work: A novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identification
cites work: Least squares solutions of bilinear equations
cites work: D-optimal input design for nonlinear FIR-type systems: a dispersion-based approach
cites work: Convergence analysis of the hierarchical least squares algorithm for bilinear-in-parameter systems
cites work: Parameter estimation for nonlinear dynamical adjustment models
cites work: An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
cites work: Iterative identification of block-oriented nonlinear systems based on biconvex optimization
cites work: The Jacobi and Gauss-Seidel-type iteration methods for the matrix equation \(A X B = C\)
cites work: Application of the Newton iteration algorithm to the parameter estimation for dynamical systems
cites work: The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise
cites work: Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering
cites work: Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems
cites work: The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise
cites work: A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering
cites work: Improving transient performance of adaptive control via a modified reference model and novel adaptation
cites work: Robust adaptive parameter estimation of sinusoidal signals
cites work: Robust adaptive estimation of nonlinear system with time‐varying parameters
cites work: Robust adaptive finite‐time parameter estimation and control for robotic systems
cites work: Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed \(\gamma\)-gain stability
cites work: Continuous-time model predictive control of under-actuated spacecraft with bounded control torques
cites work: Multiperiodicity and exponential attractivity of neural networks with mixed delays
cites work: Unified synchronization criteria for hybrid switching-impulsive dynamical networks
cites work: Synchronization of uncertain chaotic systems via complete-adaptive-impulsive controls
DOI: 10.1016/J.JFRANKLIN.2017.09.014
description: scientific article; zbMATH DE number 6834087