Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise
type: Item
instance of: scholarly article
title: Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise
zbMATH Open document ID: 1393.93031
author: Shaoxue Jing
author: Tianhong Pan
author: Zhengming Li
published in: Nonlinear Dynamics
publication date: 2018-08-22T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 37N10
Mathematics Subject Classification ID: 41A15
zbMATH DE Number: 6921860
zbMATH Keywords: parameter estimation
zbMATH Keywords: process noise
zbMATH Keywords: variable knots
zbMATH Keywords: spline function approximation
MaRDI profile type: Publication
full work available at URL: s11071-017-3803-8
OpenAlex ID: W2758568103
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DOI: 10.1007/S11071-017-3803-8
description: scientific article; zbMATH DE number 6921860