© 2001

Control of flexible-link manipulators using neural networks

  • Authors
  • Authors well known in their field

  • Up-to-date experimental evaluations included


Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 261)

Table of contents

  1. Front Matter
  2. Pages 1-14
  3. Pages 15-32
  4. Pages 33-40
  5. Pages 81-114
  6. Back Matter

About this book


Control of Flexible-link Manipulators Using Neural Networks addresses the difficulties that arise in controlling the end-point of a manipulator that has a significant amount of structural flexibility in its links. The non-minimum phase characteristic, coupling effects, nonlinearities, parameter variations and unmodeled dynamics in such a manipulator all contribute to these difficulties. Control strategies that ignore these uncertainties and nonlinearities generally fail to provide satisfactory closed-loop performance. This monograph develops and experimentally evaluates several intelligent (neural network based) control techniques to address the problem of controlling the end-point of flexible-link manipulators in the presence of all the aforementioned difficulties. To highlight the main issues, a very flexible-link manipulator whose hub exhibits a considerable amount of friction is considered for the experimental work. Four different neural network schemes are proposed and implemented on the experimental test-bed. The neural networks are trained and employed as online controllers.


Flexible-link manipulators Robotics control control theory mechatronics neural networks

Bibliographic information

  • Book Title Control of flexible-link manipulators using neural networks
  • Authors H.A. Talebi
    R.V. Patel
    K. Khorasani
  • Series Title Lecture Notes in Control and Information Sciences
  • Series Abbreviated Title Lect Notes Control Inf Sci
  • DOI
  • Copyright Information Springer-Verlag London Limited 2001
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-1-85233-409-3
  • eBook ISBN 978-1-84628-572-1
  • Series ISSN 0170-8643
  • Series E-ISSN 1610-7411
  • Edition Number 1
  • Number of Pages XVIII, 150
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Control, Robotics, Mechatronics
  • Buy this book on publisher's site
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