Multi-step-length gradient iterative algorithm for equation-error type models
type: Item
instance of: scholarly article
title: Multi-step-length gradient iterative algorithm for equation-error type models
zbMATH Open document ID: 1391.93071
author: Jing Chen
author: Feng Ding
author: Yanjun Liu
author: Quanmin Zhu
published in: Systems \& Control Letters
publication date: 2018-06-27T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 90C20
zbMATH DE Number: 6894835
zbMATH Keywords: parameter estimation
zbMATH Keywords: gradient algorithm
zbMATH Keywords: multi-step-length
zbMATH Keywords: convergence rate
zbMATH Keywords: EET model
MaRDI profile type: Publication
full work available at URL: j.sysconle.2018.03.003
OpenAlex ID: W2791491579
cites work: Continuous-time model predictive control of under-actuated spacecraft with bounded control torques
cites work: Recursive parameter identification of the dynamical models for bilinear state space systems
cites work: Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise
cites work: A fast proximal gradient algorithm for decentralized composite optimization over directed networks
cites work: Solving the Infinite-Horizon Constrained LQR Problem Using Accelerated Dual Proximal Methods
cites work: Errors-in-variables identification using maximum likelihood estimation in the frequency domain
cites work: Hierarchical stochastic gradient algorithm and its performance analysis for a class of bilinear-in-parameter systems
cites work: Conjugate gradient method for fuzzy symmetric positive definite system of linear equations
cites work: The conjugate-gradient method for optimal control problems with undetermined final time†
cites work: Modified stochastic gradient identification algorithms with fast convergence rates
cites work: Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities
cites work: Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms
cites work: The Gradient Projection Method Along Geodesics
cites work: The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise
cites work: Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems
DOI: 10.1016/J.SYSCONLE.2018.03.003
Wikidata QID: Q130080797
description: scientific article; zbMATH DE number 6894835