Sampled-Data Models for Linear and Nonlinear Systems
Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors pr
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Juan I. Yuz Graham C. Goodwin
Sampled-Data Models for Linear and Nonlinear Systems
Communications and Control Engineering
For further volumes: www.springer.com/series/61
Juan I. Yuz r Graham C. Goodwin
Sampled-Data Models for Linear and Nonlinear Systems
Juan I. Yuz Departamento de Electrónica Universidad Técnica Federico Santa María Valparaíso, Chile
Graham C. Goodwin School of Electrical Engineering & Computer Science University of Newcastle Callaghan, New South Wales, Australia
ISSN 0178-5354 Communications and Control Engineering ISBN 978-1-4471-5561-4 ISBN 978-1-4471-5562-1 (eBook) DOI 10.1007/978-1-4471-5562-1 Springer London Heidelberg New York Dordrecht © Springer-Verlag London 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Paz and Rosslyn
Preface
Most real-world systems evolve in continuous time. However, digital implementation is almost universally used in practice. Hence, a crucial ingredient in practical estimation and control is an understanding of the impact of sampling on continuoustime models and systems. In this context, the aim of this book is to reduce the gap between continuous-time and sampled-data systems theory. The subject of sampling is huge—no one book can cover all aspects. Thus, the book emphasises exact and appro
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