Neural Networks for Cooperative Control of Multiple Robot Arms

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and sim

  • PDF / 4,572,180 Bytes
  • 86 Pages / 439.37 x 666.142 pts Page_size
  • 105 Downloads / 210 Views

DOWNLOAD

REPORT


Shuai Li Yinyan Zhang

Neural Networks for Cooperative Control of Multiple Robot Arms 123

SpringerBriefs in Applied Sciences and Technology Computational Intelligence

Series editor Janusz Kacprzyk, Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

More information about this series at http://www.springer.com/series/10618

Shuai Li Yinyan Zhang •

Neural Networks for Cooperative Control of Multiple Robot Arms

123

Shuai Li Department of Computing The Hong Kong Polytechnic University Hong Kong China

Yinyan Zhang Department of Computing The Hong Kong Polytechnic University Hong Kong China

ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2520-8551 ISSN 2520-856X (electronic) SpringerBriefs in Computational Intelligence ISBN 978-981-10-7036-5 ISBN 978-981-10-7037-2 (eBook) https://doi.org/10.1007/978-981-10-7037-2 Library of Congress Control Number: 2017956321 © The Author(s) 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 jurisdict