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Fuzzy Control

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing nonlinear controllers via the use of heuristic information. Such heuristic information may come from an operator who has acted as a “human-in-the-loop” controller for a process. In the fuzzy control design methodology, we ask this operator to write down a set of rules on how to control the process, then we incorporate these into a fuzzy controller that emulates the decision-making process of the human. In other cases, the heuristic information may come from a control engineer who has performed extensive mathematical modeling, analysis, and development of. | Fuzzy Control Kevin M. Passino Department of Electrical Engineering The Ohio State University Stephen Yurkovich Department of Electrical Engineering The Ohio State University ADDISON-WESLEY An Imprint of Addison-Wesley Longman Inc. Menlo Park California Reading Massachusetts Harlow England Berkeley California Don Mills Ontaria Sydney Bonn Amsterdam Mexico City Assistant Editor Laura Cheu Editorial Assistant Royden Tonomura Senior Production Editor Teri Hyde Marketing Manager Rob Merino Manufacturing Supervisor Janet Weaver- Art and Design Manager Kevin Berry Cover Design Yvo Riezebos technical drawing by K. Passino Text Design Peter Vacek Design Macro Writer William Erik Baxter Copyeditor Brian Jones Proofreader Holly McLean-Aldis Copyright 1998 Addison Wesley Longman Inc. All rights reserved. No part of this publication may be reproduced or stored in a database or retrieval system or transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the prior written permission of the publisher. Printed in the United States of America. Printed simultaneously in Canada. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book and Addison-Wesley was aware of a trademark claim the designations have been printed in initial caps or in all caps. MATLAB is a registered trademark of The MathWorks Inc. Library of Congress Cataloging-in-Publication Data Passino Kevin M. Fuzzy control Kevin M. Passino and Stephen Yurkovich. p. cm. Includes bibliographical references and index. ISBN 0-201-18074-X 1. Automatic control. 2. Control theory. 3. Fuzzy systems. I. Yurkovich Stephen. II. Title. TJ213.P317 1997 97-14003 629.8 9--DC21 CIP Instructional Material Disclaimer The programs presented in this book have been included for their instructional value. They have been tested with care but are not guaranteed for any particular purpose. Neither