Identification of Continuous-time Models from Sampled Data
System identification is an established field in the area of system analysis and control. It aims to determine particular models for dynamical systems based on observed inputs and outputs. Although dynamical systems in the physical world are naturally des
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Hugues Garnier • Liuping Wang Editors
Identification of Continuous-time Models from Sampled Data
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Hugues Garnier, PhD Centre de Recherche en Automatique de Nancy (CRAN) Nancy-Université CNRS Faculté des Sciences et Techniques 54506 Vandoeuvre-les-Nancy France
Liuping Wang, PhD RMIT University School of Electrical and Computing Engineering Swanston Street Melbourne 3000 Victoria Australia
ISBN 978-1-84800-160-2
e-ISBN 978-1-84800-161-9
DOI 10.1007/978-1-84800-161-9 Advances in Industrial Control series ISSN 1430-9491 British Library Cataloguing in Publication Data Identification of continuous-time models from sampled data. - (Advances in industrial control) 1. Linear time invariant systems - Mathematical models Congresses 2. Automatic control - Congresses I. Garnier, Hugues II. Wang, Liuping 629.8'32 ISBN-13: 9781848001602 Library of Congress Control Number: 2007942577 © 2008 Springer-Verlag London Limited MATLAB® and Simulink® are registered trademarks of The MathWorks, Inc., 3 Apple Hill Drive, Natick, MA 01760-2098, USA. http://www.mathworks.com Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: eStudio Calamar S.L., Girona, Spain Printed on acid-free paper 9 8 7 6 5 4 3 2 1 springer.com
Advances in Industrial Control Series Editors Professor Michael J. Grimble, Professor of Industrial Systems and Director Professor Michael A. Johnson, Professor (Emeritus) of Control Systems and Deputy Director Industrial Control Centre Department of Electronic and Electrical Engineering University of Strathclyde Graham Hills Building 50 George Street Glasgow G1 1QE United Kingdom Series Advisory Board Professor E.F. Camacho Escuela Superior de Ingenieros Universidad de Sevilla Camino de los Descubrimientos s/n 41092 Sevilla Spain Professor S. Engell Lehrstuhl für Anlagensteuerungstechnik Fachbereich Chemietechnik Universität Dortmund 44221 Dortmund Germany Professor G. Goodwin Department of Electrical and Computer Engineering The University of Newcastle Callaghan NSW 2308 Australia Professor T.J. Harris Department of Chemical Engineering Queen’s University Kingston, Ontario K7L 3N6 C
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