Passivity and Stability Analysis of RDNNs with Dirichlet Boundary Conditions
Recently, DNNs have received considerable attention due to the wide applications in various areas such as image processing, signal processing, associative memory, pattern classification, optimization, and moving object speed detection. As we know, such ap
- PDF / 10,150,413 Bytes
- 251 Pages / 453.543 x 683.15 pts Page_size
- 37 Downloads / 259 Views
assivity of Complex Dynamical Networks Analysis, Control and Applications
Passivity of Complex Dynamical Networks
Jin-Liang Wang Huai-Ning Wu Shun-Yan Ren •
•
Passivity of Complex Dynamical Networks Analysis, Control and Applications
123
Jin-Liang Wang Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems School of Computer Science and Technology Tiangong University Tianjin, China
Huai-Ning Wu Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering Beihang University Beijing, China
Shun-Yan Ren School of Mechanical Engineering Tiangong University Tianjin, China
ISBN 978-981-33-4286-6 ISBN 978-981-33-4287-3 https://doi.org/10.1007/978-981-33-4287-3
(eBook)
© Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are solely and exclusively licensed 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, expressed 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. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Recently, the passivity problem for complex dynamical networks (CDNs) has received considerable attention due to its wide applications in various areas such as stability, complexity, signal processing, synchronization, and fuzzy control. But, the network models considered in the majority of existing studies have the same dimension of input and output vectors. Practically, the dimensions of input and output vectors in many real networks are different. Obviously, it is more interesting to study the passivity of CDNs with different dimensions of input and output. Moreover, the passivity is an advantageous tool to analyze the synchronization of CDNs. However, in many circumstances, CDNs need to realize synchronization in a finite time. Therefore, in order to better study the finite-time synchronization (FTS) of CDNs
Data Loading...