Stability Analysis of Markovian Jump Systems
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent deve
- PDF / 4,409,043 Bytes
- 200 Pages / 453.543 x 683.15 pts Page_size
- 94 Downloads / 206 Views
tability Analysis of Markovian Jump Systems
Stability Analysis of Markovian Jump Systems
Yu Kang Yun-Bo Zhao Ping Zhao •
Stability Analysis of Markovian Jump Systems
123
Ping Zhao Jinan University Jinan China
Yu Kang University of Science and Technology of China Hefei China Yun-Bo Zhao Zhejiang University of Technology Hangzhou China
ISBN 978-981-10-3859-4 DOI 10.1007/978-981-10-3860-0
ISBN 978-981-10-3860-0
(eBook)
Jointly published with Science Press, Beijing, China ISBN: 978-7-03-053968-7 Science Press, Beijing Not for sale outside the Mainland of China (Not for sale in Hong Kong SAR, Macau SAR, and Taiwan, and all countries, except the Mainland of China). Library of Congress Control Number: 2017948608 © Springer Nature Singapore Pte Ltd. and Science Press, Beijing 2018 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Markovian jump systems typically consist of a finite number of subsystems and a jumping law governing the active/deactivate mode switches among these subsystems. The subsystems are usually modeled as differential/difference equations, and the jumping law is a continuous-time/discrete-time Markov chain. Markovian jump systems are a powerful modeling tool in many engineering areas. For instance, abrupt changes are often seen in practical systems, due to the abrupt environmental disturbances, the component and interconnection failures, the abrupt changes of the operation point for the nonlinear plant, etc. The system can be modeled as having different dynamics before and after the abrupt changes, and the changes are usually memoryless and thus Markovian, hence resulting in a Markovian jump
Data Loading...
