Model validation for control and controller validation in a prediction error identification framework. II: Illustrations
type: Item
instance of: scholarly article
title: Model validation for control and controller validation in a prediction error identification framework. II: Illustrations
zbMATH Open document ID: 1015.93012
DOI: 10.1016/S0005-1098(02)00235-2
author: Michel Gevers
author: Xavier Bombois
author: Benoît Codrons
author: Gerard Scorletti
author: Brian D. O. Anderson
published in: Automatica
publication date: 2003-04-27T00:00:00Z
review text: [For Part I see ibid. 403-415 (2003; Zbl 1015.93011) reviewed above.] The paper illustrates the new results on model validation for control and controller validation in a prediction error identification framework. Two realistic simulation examples are given, covering widely different control design applications. The first is the control of a flexible mechanical system (the Landau benchmark example) with a tracking objective; the second is the control of a ferrosilicon production process with a disturbance rejection objective.
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 1900982
zbMATH Keywords: system identification
zbMATH Keywords: model validation
zbMATH Keywords: robust control
zbMATH Keywords: prediction error identification
zbMATH Keywords: simulation examples
zbMATH Keywords: control design
zbMATH Keywords: applications
zbMATH Keywords: flexible mechanical system
zbMATH Keywords: tracking
zbMATH Keywords: ferrosilicon production process
zbMATH Keywords: disturbance rejection
reviewed by: Tzvetan Semerdjiev
MaRDI profile type: Publication
cites work: Closed-loop identification with an unstable or nonminimum phase controller
cites work: Model validation for control and controller validation in a prediction error identification framework. I: Theory
cites work: Asymptotic variance expressions for closed-loop identification
cites work: Robust digital control of flexible transmissions using the combined pole placement/sensitivity function shaping method
cites work: A flexible transmission system as a benchmark for robust digital control
cites work: Digital QFT design for the benchmark problem
full work available at URL: s0005-1098(02)00235-2
OpenAlex ID: W4232386917
description: scientific article; zbMATH DE number 1900982