Intelligent Systems Reference Library

Modelling and Control for Intelligent Industrial Systems

Adaptive Algorithms in Robotics and Industrial Engineering

Authors: Rigatos, Gerasimos

  • Offers an overview of the design, control and modeling of intelligent industrial systems
  • Combines such disciplines as robotics, automation, estimation theory, multi-sensor fusion, fault diagnosis and optimization theory
  • A reference of benefit to researchers, engineers and graduate students
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eBook $149.00
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  • ISBN 978-3-642-17875-7
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  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-642-17874-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-3-662-50665-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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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.

Reviews

From the reviews:

“The present book defines and analyzes some main directions of research in modeling and control for industrial systems. … The book may serve as a tool for students, scientists and engineers from academia and industry experienced in these attractive areas. It can be also a source for courses, which can be part of the academic programme of Electrical, Mechanical, Industrial Engineering and Computer Science Departments.” (Clementina Mladenova, Zentralblatt MATH, Vol. 1217, 2011)

Table of contents (16 chapters)

  • Industrial Robots in Contact-Free Operation

    Rigatos, Gerasimos G.

    Pages 1-30

  • Industrial Robots in Compliance Tasks

    Rigatos, Gerasimos G.

    Pages 31-43

  • Mobile Robots and Autonomous Vehicles

    Rigatos, Gerasimos G.

    Pages 45-63

  • Adaptive Control Methods for Industrial Systems

    Rigatos, Gerasimos G.

    Pages 65-100

  • Robust Control Methods for Industrial Systems

    Rigatos, Gerasimos G.

    Pages 101-118

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-642-17875-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-642-17874-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-3-662-50665-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Modelling and Control for Intelligent Industrial Systems
Book Subtitle
Adaptive Algorithms in Robotics and Industrial Engineering
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
7
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Berlin Heidelberg
eBook ISBN
978-3-642-17875-7
DOI
10.1007/978-3-642-17875-7
Hardcover ISBN
978-3-642-17874-0
Softcover ISBN
978-3-662-50665-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXX, 379
Topics