Receding Horizon Control Model Predictive Control for State Models
Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: e
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Series Editors Professor Michael J. Grimble, Professor of Industrial Systems and Director Professor Michael A. Johnson, Professor Emeritus of Control Systems and Deputy Director Industrial Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Graham Hills Building, 50 George Street, Glasgow G1 1QE, UK
Other titles published in this series: Genetic Algorithms K.F. Man, K.S. Tang and S. Kwong Neural Networks for Modelling and Control of Dynamic Systems M. Nørgaard, O. Ravn, L.K. Hansen and N.K. Poulsen Modelling and Control of Robot Manipulators (2nd Edition) L. Sciavicco and B. Siciliano Fault Detection and Diagnosis in Industrial Systems L.H. Chiang, E.L. Russell and R.D. Braatz Soft Computing L. Fortuna, G. Rizzotto, M. Lavorgna, G. Nunnari, M.G. Xibilia and R. Caponetto Statistical Signal Processing T. Chonavel Discrete-time Stochastic Processes (2nd Edition) T. Söderström Parallel Computing for Real-time Signal Processing and Control M.O. Tokhi, M.A. Hossain and M.H. Shaheed Multivariable Control Systems P. Albertos and A. Sala Control Systems with Input and Output Constraints A.H. Glattfelder and W. Schaufelberger Analysis and Control of Non-linear Process Systems K. Hangos, J. Bokor and G. Szederkényi Model Predictive Control (2nd Edition) E.F. Camacho and C. Bordons Principles of Adaptive Filters and Self-learning Systems A. Zaknich Digital Self-tuning Controllers V. Bobál, J. Böhm, J. Fessl and J. Macháˇcek Control of Robot Manipulators in Joint Space R. Kelly, V. Santibáñez and A. Loría Robust Control Design with MATLAB® D.-W. Gu, P.Hr. Petkov and M.M. Konstantinov Active Noise and Vibration Control M.O. Tokhi Publication due September 2005
W.H. Kwon and S. Han
Receding Horizon Control Model Predictive Control for State Models
With 51 Figures
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Wook Hyun Kwon, PhD Soohee Han, PhD School of Electrical Engineering and Computer Science Seoul National University San 56-1 Shinlim-dong Gwanak-ku Seoul 151-742 Korea
British Library Cataloguing in Publication Data Kwon, W. H. (Wook Hyun) Receding horizon control: model predictive control for state models. - (Advanced textbooks in control and signal processing) 1. Predictive control I. Title II. Han, S. 629.8 ISBN-10: 1846280249 Library of Congress Control Number: 2005927907 Advanced Textbooks in Control and Signal Processing series ISSN 1439-2232 ISBN-10: 1-84628-024-9 e-ISBN: 1-84628-017-6 Printed on acid-free paper ISBN-13: 978-1-84628-024-5 © Springer-Verlag London Limited 2005 MATLAB® is the registered trademark of The MathWorks, Inc., 3 Apple Hill Drive Natick, MA 017602098, U.S.A. http://www.mathworks.com 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 t
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