Intelligent Engineering Systems and Computational Cybernetics

Editors: Machado, J.A. Tenreiro, Pátkai, Béla, Rudas, Imre J. (Eds.)

  • State of the art in the subject

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About this book

Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it.

A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence.

The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application.

Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. The huge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.

Table of contents (39 chapters)

  • On-Line Trajectory Time-Scaling to Reduce Tracking Error

    Szádeczky-Kardoss, Emese (et al.)

    Pages 3-14

  • Intelligent Mobile Robot Control in Unknown Environments

    Mester, Gyula

    Pages 15-26

  • Local and Remote Laboratories in the Education of Robot Architectures

    Matijevics, István

    Pages 27-36

  • Force–Impedance Control of a Six-dof Parallel Manipulator

    Lopes, António M. (et al.)

    Pages 37-47

  • Robotic Manipulators with Vibrations: Short Time Fourier Transform of Fractional Spectra

    Lima, Miguel F. M. (et al.)

    Pages 49-60

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4020-8678-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4020-8677-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-90-481-7949-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Engineering Systems and Computational Cybernetics
Editors
  • J.A. Tenreiro Machado
  • Béla Pátkai
  • Imre J. Rudas
Copyright
2009
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-8678-6
DOI
10.1007/978-1-4020-8678-6
Hardcover ISBN
978-1-4020-8677-9
Softcover ISBN
978-90-481-7949-7
Edition Number
1
Number of Pages
X, 460
Topics