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Fuzzy Algorithms for Control / edited by H.B. Verbruggen, H.-J. Zimmermann, R. Babuška.

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Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzz...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Verbruggen, H. B.
Other Authors: Zimmermann, H.-J, Babuška, R.
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands, 1999.
Series:International series in intelligent technologies ; 14.
Subjects:
Mathematics.
Logic, Symbolic and mathematical.
Mathematical optimization.
Operations research.
Table of Contents:
  • I The Position and State of The Art of Fuzzy Systems
  • 1 Fuzzy Systems in Control Engineering
  • 2 Fuzzy Logic, Control Engineering and Artificial Intelligence
  • 3 Fuzzy Control Versus Conventional Control
  • 4 Data-Driven Construction of Transparent Fuzzy Models
  • II Design and Analysis Issues
  • 5 Fuzzy Logic Normal Forms for Control Law Representation
  • 6 Stability Analysis of Fuzzy Control Loops
  • 7 Performance Criteria: Classical and Fuzzy Design
  • 8 Complexity Reduction Methods for Fuzzy Systems
  • III Application of Fuzzy Systems
  • 9 Intelligent Data Analysis and Fuzzy Control
  • 10 Fuzzy Control in Process Industry
  • 11 Fuzzy Logic Applications in Mobile Robotics
  • 12 Enhancing Flight Control using Fuzzy Logic.

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