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Fuzzy Model Identification for Control
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Fuzzy Model Identification for Control Hardcover - 2003

by Janos Abonyi

This guide presents a new framework developed for model-based control and recent advances in fuzzy identification and control. Techniques are illustrated by several examples and real-world applications taken from chemical engineering.


From the publisher

This book presents new approaches to the construction of fuzzy models for model-based control. The main methods and techniques are illustrated through simulated examples and real-world applications from chemical and process engineering. Supporting MATLAB and Simulink files--available at www.fmt.vein.hu/softcomp--create a computational platform for exploration and illustration of concepts and algorithms presented in the book. Aimed at researchers, practitioners, and professionals in process control and identification, but also accessible to grad students in electrical, chemical, and process engineering.

First line

The problem of a successful model-based control application arises from difficulties in the process of system modeling [78, 161].

Details

  • Title Fuzzy Model Identification for Control
  • Author Janos Abonyi
  • Binding Hardcover
  • Edition 1st
  • Pages 273
  • Volumes 1
  • Language ENG
  • Publisher Birkhauser
  • Date 2003-02-28
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • ISBN 9780817642389 / 0817642382
  • Weight 1.28 lbs (0.58 kg)
  • Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
  • Library of Congress subjects Fuzzy systems, System identification
  • Library of Congress Catalog Number 2002038615
  • Dewey Decimal Code 519
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Fuzzy Model Identification for Control (Systems & Control Foundations & Applicat)
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Fuzzy Model Identification for Control (Systems & Control Foundations & Applicat)

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