Advances in Industrial Control

System Identification and Adaptive Control

Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models

Authors: Boutalis, Y., Theodoridis, D., Kottas, T., Christodoulou, M.A.

  • Summarizes the latest studies in neurofuzzy control
  • Explains how to apply two powerful models in a variety of systems
  • Provides the reader with mutually reinforcing rigorous theoretical proof and simulation
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eBook $119.00
price for USA (gross)
  • ISBN 978-3-319-06364-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-319-06363-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-35412-5
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
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About this book

Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:

•             contemporary power generation;

•             process control and

•             conventional benchmarking problems.

Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.

About the authors

The authors works intensively in the field of intelligent control and its applications. Two of them (Boutalis and Christodoulou) are professors with long research experience and the other two are relevantly young researchers with a significant number of publications in the area of intelligent control.

Table of contents (10 chapters)

  • Introduction and Scope of Part I

    Boutalis, Yiannis (et al.)

    Pages 3-23

  • Identification of Dynamical Systems Using Recurrent Neurofuzzy Modeling

    Boutalis, Yiannis (et al.)

    Pages 25-55

  • Indirect Adaptive Control Based on the Recurrent Neurofuzzy Model

    Boutalis, Yiannis (et al.)

    Pages 57-85

  • Direct Adaptive Neurofuzzy Control of SISO Systems

    Boutalis, Yiannis (et al.)

    Pages 87-118

  • Direct Adaptive Neurofuzzy Control of MIMO Systems

    Boutalis, Yiannis (et al.)

    Pages 119-159

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-319-06364-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-319-06363-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-35412-5
  • Free shipping for individuals worldwide
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
System Identification and Adaptive Control
Book Subtitle
Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models
Authors
Series Title
Advances in Industrial Control
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
Distribution Rights
Distribution rights for India: Delhi Book Store, New Delhi, India
eBook ISBN
978-3-319-06364-5
DOI
10.1007/978-3-319-06364-5
Hardcover ISBN
978-3-319-06363-8
Softcover ISBN
978-3-319-35412-5
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XII, 313
Number of Illustrations and Tables
64 b/w illustrations, 56 illustrations in colour
Topics