Dynamic Modeling, Predictive Control and Performance Monitoring A Da
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculat
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Biao Huang, Ramesh Kadali
Dynamic Modeling, Predictive Control and Performance Monitoring A Data-driven Subspace Approach
ABC
Series Advisory Board F. Allgöwer, P. Fleming, P. Kokotovic, A.B. Kurzhanski, H. Kwakernaak, A. Rantzer, J.N. Tsitsiklis
Authors Prof. Biao Huang University of Alberta Dept. Chemical & Materials Engineering Edmonton AB T6G 2G6 Canada
Dr. Ramesh Kadali Suncor Energy Inc. Fort McMurray AB T9H 3E3 Canada
ISBN 978-1-84800-232-6
e-ISBN 978-1-84800-233-3
DOI 10.1007/978-1-84800-233-3 Lecture Notes in Control and Information Sciences
ISSN 0170-8643
British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library
Library of Congress Control Number: 2008923061 c
Springer-Verlag London Limited 2008
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. Typeset & Cover Design: Scientific Publishing Services Pvt.Ltd., Chennai, India. Printed on acid-free paper 987654321 springer.com
To Yali and Linda - BH To baby Rohan - RK
Preface
Aim of the Book The aim of this book is: 1) to provide an introduction to conventional system identification, model predictive control, and control performance monitoring, and 2) to present a novel subspace framework for closed-loop identification, datadriven predictive control and control performance monitoring. Dynamic modeling, control and monitoring are three central themes in systems and control. Under traditional design frameworks, dynamic models are the prerequisite of control and monitoring. However, models are only vehicles towards achieving these design objectives. Once the design of a controller or a monitor is completed, the model often ceases to exist. The use of models serves well for the design purpose as most traditional designs are model based; it also introduces unavoidable modeling error and complexity in building the model. If a model is identified from data, it is obvious that information contained in the model is no more than that within the original data. Can a controller or monitor be designed directly from input-output data bypassing the modeling step? This boo
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