From experiment design to closed-loop control
type: Item
instance of: scholarly article
title: From experiment design to closed-loop control
zbMATH Open document ID: 1079.93016
author: Håkan Hjalmarsson
published in: Automatica
publication date: 2005-05-12T00:00:00Z
review text: The paper is a survey of modeling and system identification techniques suited for industrial use and control design applications. General modeling principles and control related issues are overviewed. In particular, such topics as 1) modeling frameworks, 2) model uncertainty, 3) accuracy of approximate models, 4) model validation, 5) links between robust control and system identification, 6) direct identification of a simplified model for control design, 7) approximation of nonlinear systems with linear time-invariant models and 8) model-free tuning methods are discussed in this framework. Moreover, experiment design issues and control oriented model validation are considered for completion. The considerations are in principle restricted to time-domain identification, with particular attention to the prediction error method. The paper concludes with comments on the subject and provides a remarkable number of references.
reviewed by: Zygmunt Hasiewicz
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93-02
zbMATH DE Number: 2167421
zbMATH Keywords: Identification for control
zbMATH Keywords: Statistical analysis
zbMATH Keywords: Experiment design
zbMATH Keywords: Model validation
MaRDI profile type: Publication
full work available at URL: j.automatica.2004.11.021
OpenAlex ID: W1990032845
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From experiment design to closed-loop control (DOI)
DOI: 10.1016/J.AUTOMATICA.2004.11.021