Efficient Modeling and Control of Large-Scale Systems
Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electro
- PDF / 6,944,945 Bytes
- 350 Pages / 439.37 x 666.142 pts Page_size
- 38 Downloads / 179 Views
Javad Mohammadpour
•
Karolos M. Grigoriadis
Editors
Efficient Modeling and Control of Large-Scale Systems
123
Editors Javad Mohammadpour University of Houston Dept. Mechanical Engineering Calhoun Road 4800 77204-4006 Houston Texas N204, Engineering Bldg. 1 USA [email protected]
Karolos M. Grigoriadis University of Houston Dept. Mechanical Engineering Calhoun Road 4800 77204-4006 Houston Texas N204, Engineering Bldg. 1 USA [email protected]
ISBN 978-1-4419-5756-6 e-ISBN 978-1-4419-5757-3 DOI 10.1007/978-1-4419-5757-3 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010929392 c Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
Almost five decades have passed from the organized formulation of Large-Scale Systems (LSS) engineering as a branch of control and systems engineering. In the 1960s modeling, analysis and synthesis of complex systems were being pursued by a number of research teams in the US and overseas. It is impossible to identify all of them here. Among those there were the MIT team headed by Professor Michael Athans and many of his colleagues and his former doctoral students; the other was at the University of Illinois, headed by Professor Joe Cruz, Jr. with able peers like Petar Kokotovic and Bill Perkins and their many doctoral students; another was the work done by Ted Davison and his peers at the University of Toronto in Canada and Andy Sage at the University of Virginia and later on at George Mason University. At the time I was a doctoral student of Petar Kokotovic at the University of Illinois. These were not the only ones of course, but they were very visible in the annual IEEE CDC and ACC meetings. The approaches of LSS theory at Illinois were based on sensitivity of system with respect to inherent model’s parameters and by determining the sensitivity of inputs and outputs and thereby deal with many attributes of an LSS – be it nonlinearity, dimension, time delays, etc. Others were concerned with robust control or multi-variable control approaches. Then it was in 1978 that a special issue of IEEE Transaction on Automatic Control (Volume AC-23, 1978) guest edited by Mike Athans, Nil Sandell, Pravin Varaiya and Mike Safonov, the control of
Data Loading...
