Recursive \(l^1\) robust identification algorithms
type: Item
instance of: scholarly article
zbMATH Open document ID: 0997.93024
author: Shengping Li
author: Yuanfang Xie
author: Tianyou Chai
publication date: 2002-01-02T00:00:00Z
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 1619208
zbMATH Keywords: recursive \(l^1\) robust identification
zbMATH Keywords: model set
zbMATH Keywords: fixed data window
zbMATH Keywords: error bound
zbMATH Keywords: convergence
MaRDI profile type: Publication
title: Recursive \(l^1\) robust identification algorithms
published in: Control Theory \& Applications
review text: The authors consider the problem of \(l^1\) robust identification for dynamic systems with norm bounded, unstructured uncertainty. They first show that the set of considered model parameters is a convex polyhedron, assuming less a priori system knowledge and bounded noise. Based on the above result, they propose a simple, recursive algorithm for determining the nominal model and the identification error bound. Moreover, they analyze the convergence of the proposed recursive algorithm. A simulation example is presented to illustrate its effectiveness.
reviewed by: Yu Wenhuan
description: scientific article; zbMATH DE number 1619208