International Series in Intelligent Technologies

Fuzzy Modeling for Control

Authors: Babuška, Robert

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eBook $189.00
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About this book

Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models.
To automatically generate fuzzy models from measurements, a comprehensive methodology is developed which employs fuzzy clustering techniques to partition the available data into subsets characterized by locally linear behaviour. The relationships between the presented identification method and linear regression are exploited, allowing for the combination of fuzzy logic techniques with standard system identification tools. Attention is paid to the trade-off between the accuracy and transparency of the obtained fuzzy models. Control design based on a fuzzy model of a nonlinear dynamic process is addressed, using the concepts of model-based predictive control and internal model control with an inverted fuzzy model. To this end, methods to exactly invert specific types of fuzzy models are presented. In the context of predictive control, branch-and-bound optimization is applied.
The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.

Table of contents (7 chapters)

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-94-011-4868-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $329.00
price for USA
  • ISBN 978-0-7923-8154-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-94-010-6040-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Modeling for Control
Authors
Series Title
International Series in Intelligent Technologies
Series Volume
12
Copyright
1998
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-94-011-4868-9
DOI
10.1007/978-94-011-4868-9
Hardcover ISBN
978-0-7923-8154-9
Softcover ISBN
978-94-010-6040-0
Series ISSN
1382-3434
Edition Number
1
Number of Pages
XIII, 260
Topics