Adaptive Control with Recurrent High-order Neural Networks Theory an
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, se
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George A. Rovithakis and Manolis A. Christodoulou
Adaptive Control with Recurrent High-order Neural Networks Theory and Industrial Applications
With 30 Figures
Springer
George A. Rovithakis, PhD Manolis A. Christodoulou, PhD Department of Electronic and Computer Engineering, Technical University of Crete, GR-73100 Chania, Crete, Greece.
British Library Cataloguing in Publication Data Rovithakis, George A. Adaptive control with recurrent high-order neural networks : theory and industrial applications. - (Advances in industrial control) l.Adaptive control systems 2. Neural networks (Computer science) I. Title II. Christodoulou, Manolis A. 629.8'36 ISBN-13: 978-1-4471-1201-3 DOl: 10.1007/978-1-4471-0785-9
e-ISBN-13: 978-1-4471-0785-9
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 Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers.
© Springer-Verlag London Limited 2000 Softcover reprint of the hardcover I st edition 2000 The use of registered names, trademarks, etc. in this publication does not imply, even in the absence
