Introduction to Process Control Analysis, Mathematical Modeling, Con
This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling,
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Victor A. Skormin
Introduction to Process Control Analysis, Mathematical Modeling, Control and Optimization
Springer Texts in Business and Economics
More information about this series at http://www.springer.com/series/10099
Victor A. Skormin
Introduction to Process Control Analysis, Mathematical Modeling, Control and Optimization
Victor A. Skormin T.J. Watson School of Engineering Binghamton University Binghamton, NY, USA
ISSN 2192-4333 ISSN 2192-4341 (electronic) Springer Texts in Business and Economics ISBN 978-3-319-42257-2 ISBN 978-3-319-42258-9 (eBook) DOI 10.1007/978-3-319-42258-9 Library of Congress Control Number: 2016947707 © Springer International Publishing Switzerland 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is Gewerbestrasse 11, 6330 Cham, Switzerland
To Dr. Max Skormin, Isabel Skormin, and (Little) Max Skormin
Foreword
This book is intended for graduate students and practitioners: it implies that readers have a serious background in at least one of the four areas. A professional statistician may discover how a regression model can facilitate control system design and/or provide basis for process optimization. A control system engineer may discover how to assess the accuracy of the traditional state-variable models. This book may help industrial leaders recognize optimization as an additional resource for improving process operation and motivate them to bring consultants. In the Internet era promoting the concepts of recognizing the need for, knowing what is available, and understanding how it works could be the most appealing feature of this book. The book is fully consistent with the author’s motto, “I practice what I teach and teach what I practice.”
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Preface
Modern manufacturing facilities can be utilized to their full potential only when their operatio
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