Skip to main content
SpringerLink
Log in

Fuzzy Model Identification

Selected Approaches

  • Book
  • © 1997

Overview

Editors:
  1. Hans Hellendoorn

    1. Siemens Corporate R&D, München, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Dimiter Driankov

    1. University of Linköping, Linköping, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages I-XXI
    Download chapter PDF

  2. General Overview

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Fuzzy Identification from a Grey Box Modeling Point of View

      • P. Lindskog
      Pages 3-50

  3. Clustering Methods

    1. Front Matter

      Pages 51-51
      Download chapter PDF

    2. Constructing Fuzzy Models by Product Space Clustering

      • R. Babuška, H. B. Verbruggen
      Pages 53-90

    3. Identification of Takagi-Sugeno Fuzzy Models via Clustering and Hough Transform

      • Min-Kee Park, Seung-Hwan Ji, Eun-Tai Kim, Mignon Park
      Pages 91-119

    4. Rapid Prototyping of Fuzzy Models Based on Hierarchical Clustering

      • M. Delgado, M. A. Vila, A. F. Gomez-Skarmeta
      Pages 121-161

  5. Genetic Algorithms

    1. Front Matter

      Pages 213-213
      Download chapter PDF

    2. Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms*

      • Oscar Cordón, Francisco Herrera
      Pages 215-250

    3. Optimization of Fuzzy Models by Global Numeric Optimization

      • V. Vergara, C. Moraga
      Pages 251-278

  6. Artificial Intelligence

    1. Front Matter

      Pages 279-279
      Download chapter PDF

    2. Identification of Linguistic Fuzzy Models Based on Learning

      • Y. Nakoula, S. Galichet, L. Foulloy
      Pages 281-319
Back to top

Keywords

About this book

During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled in one of the following two ways: - The process is controlled manually by an experienced operator. - The process is controlled by an automatic control system which needs manual, on-line 'trimming' of its parameters by an experienced operator. In both cases it is enough to translate in terms of a set of fuzzy if-then rules the operator's manual control algorithm or manual on-line 'trimming' strategy in order to obtain an equally good, or even better, wholly automatic fuzzy control system. This implies that the design of a fuzzy controller can only be done after a manual control algorithm or trimming strategy exists. It is admitted in the literature on fuzzy control that the heuristics-based approach to the design of fuzzy controllers is very difficult to apply to multiple-inputjmultiple-output control problems which represent the largest part of challenging industrial process control applications. Furthermore, the heuristics-based design lacks systematic and formally verifiable tuning tech­ niques. Also, studies of the stability, performance, and robustness of a closed loop system incorporating a heuristics-based fuzzy controller can only be done via extensive simulations.

Editors and Affiliations

  • Siemens Corporate R&D, München, Germany

    Hans Hellendoorn

  • University of Linköping, Linköping, Sweden

    Dimiter Driankov

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation