Fuzzy Logic, Identification and Predictive Control
The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" r
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Jairo Espinosa, Joos Vandewalle and Vincent Wertz
Fuzzy Logic, Identification and Predictive Control With 138 Figures
Jairo Espinosa, Ph.D. Eng.M.Sc. IPCOS Belgium, Technologielaan 11-0101, B-3001 Heverlee (Leuven), Belgium Joos Vandewalle, Prof.Dr.Ir. ESAT, Faculty of Engineering, KU Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium Vincent Wertz, Prof.Dr.Ir. CESAME, Universite´ Catholique de Louvain, av. Georges Lemaıˆtre 4, B-1348 Louvain-la-Neuve, Belgium British Library Cataloguing in Publication Data Espinosa, Jairo Fuzzy logic, identification and predictive control. — (Advances in industrial control) 1. Automatic control 2. Predictive control 3. Fuzzy logic 4. Data mining I. Title II. Vandewalle, Joos III. Wertz, Vincent 629.8 ISBN 1852338288 Library of Congress Cataloging-in-Publication Data Espinosa, Jairo. Fuzzy logic, identification and predictive control / Jairo Espinosa, Joos Vandewalle, Vincent Wertz. p. cm — (Advances in industrial control) Includes bibliographical references and index. ISBN 1-85233-828-8 1. Predictive control. 2. Fuzzy systems. I. Vandewalle, J. (Joos), 1948– II. Wertz, Vincent. III. Title. IV. Series. TJ217.6.E87 2004 629.8—dc22 2004046864 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 publisher
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