Modelling and Control for Intelligent Industrial Systems

Adaptive Algorithms in Robotics and Industrial Engineering

  • Gerasimos G. Rigatos

Part of the Intelligent Systems Reference Library book series (ISRL, volume 7)

Table of contents

  1. Front Matter
  2. Gerasimos G. Rigatos
    Pages 1-30
  3. Gerasimos G. Rigatos
    Pages 31-43
  4. Gerasimos G. Rigatos
    Pages 45-63
  5. Gerasimos G. Rigatos
    Pages 65-100
  6. Gerasimos G. Rigatos
    Pages 101-118
  7. Gerasimos G. Rigatos
    Pages 119-140
  8. Gerasimos G. Rigatos
    Pages 141-173
  9. Gerasimos G. Rigatos
    Pages 197-211
  10. Gerasimos G. Rigatos
    Pages 213-230
  11. Gerasimos G. Rigatos
    Pages 269-292
  12. Gerasimos G. Rigatos
    Pages 293-311
  13. Gerasimos G. Rigatos
    Pages 327-349
  14. Back Matter

About this book


Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation.

To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.


Adaptive Systems Dynamic Systems Modeling Industrial Robots Intelligent Industrial Systems Mobile Robots

Authors and affiliations

  • Gerasimos G. Rigatos
    • 1
  1. 1.Unit of Industrial AutomationIndustrial Systems InstituteRion PatrasGreece

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-17874-0
  • Online ISBN 978-3-642-17875-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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