Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic a
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Chris T. Freeman Eric Rogers Jane H. Burridge Ann-Marie Hughes Katie L. Meadmore
Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation 123
SpringerBriefs in Electrical and Computer Engineering Control, Automation and Robotics
Series editors Tamer Başar Antonio Bicchi Miroslav Krstic
More information about this series at http://www.springer.com/series/10198
Chris T. Freeman Eric Rogers Jane H. Burridge Ann-Marie Hughes Katie L. Meadmore •
•
Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
123
Chris T. Freeman Department of Electronics and Computer Science University of Southampton Southampton UK Eric Rogers Department of Electronics and Computer Science University of Southampton Southampton UK
Ann-Marie Hughes Faculty of Health Sciences University of Southampton Southampton UK Katie L. Meadmore School of Psychology University of Southampton Southampton UK
Jane H. Burridge Faculty of Health Sciences University of Southampton Southampton UK
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISSN 2192-6786 ISSN 2192-6794 (electronic) SpringerBriefs in Control, Automation and Robotics ISBN 978-1-4471-6725-9 ISBN 978-1-4471-6726-6 (eBook) DOI 10.1007/978-1-4471-6726-6 Library of Congress Control Number: 2015941126 Springer London Heidelberg New York Dordrecht © The Author(s) 2015 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer-Verlag London Ltd. is part of Springer Science+Business Media (www.springer.com)
Contents
1
Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2
Iterative Learning Control—An Overview. . . . . . . . . . . . . . 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 The Origins of ILC. . . . . . . . . . . . . . . . . . . . . . . . . . . 2.3 ILC for Linear Systems. . . . . . . . . . . . . . . . . . . . . . . . 2.3.1 Control Laws and St
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