Nonlinear Process Control Applications of Generic Model Control
It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. The volume editor has drawn together a number of industrial case studies where Generic Model Control has been successfully applied. Each case
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Other titles already published in this Series: Parallel Processing for Jet Engine Control Haydn A. Thompson Iterative Learning Control for Deterministic Systems Kevin L. Moore Parallel Processing in Digital Control D. Fabian Garcia Nocetti and Peter J. Fleming Intelligent Seam Tracking for Robotic Welding Nitin Nayak and Asok Ray Identification of Multivariable Industrial Processes for Simulation, Diagnosis and Control Yucai Zhu and Ton Backx
Peter L. Lee (Ed.)
Nonlinear Process Control: Applications of Generic Model Control
With 77 Figures
Springer-Verlag London Berlin Heidelberg New York Paris Tokyo Hong Kong Barcelona Budapest
Peter L. Lee Head, Department of Chemical Engineering The University of Queensland 4072 Queensland Australia
ISBN-13:978-1-4471-2081-0 e-ISBN-13:978-1-4471-2079-7 DOl: 10.1007/978-1-4471-2079-7 British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data A catalog record for this book is available from the Library of Congress 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 repro graphic reproduction in accordance with the terms of licences issued by the Copyright Licensing Authority. Enquiries concerning reproduction outside those terms should be sent to the publishers.
© Springer-Verlag London Limited 1993
Softcover reprint ofthe hardcover 1st edition 1993
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. Typesetting: Camera ready by authors
69/3830-543210 Printed on acid-free paper
SERIES EDITORS' FOREWORD
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, new applications, new philosophies, ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Nonlinear control theory has a long history reaching back to the stability theory of nonlinear systems developed by mathematicians like A.M. Lyapunov. What has been less successful has been the application of nonlinear methodologies in industrial applications. This volume in the Advances in Industrial Control series is a valuable contribution to the task o
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