article

Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis

Authors:

M. H. Fazel Zarandi,

S. M. HadianAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, Volume 18, Issue 1

Pages 57 - 71

Published: 01 January 2007 Publication History

Abstract

In this paper, we propose an indirect method to fuzzy modeling which implements a clustering algorithm to build a linguistic fuzzy controller. Based on output data clustering and projection onto the input spaces, the number of clusters is determined and rules are generated automatically. A new methodology based on output sensitivity is developed for input variable selection. Then, implementing an Adapted Neural Network for the selection of membership functions optimizes all membership function parameters. The unbounded parameters of fuzzy operators and the inference methods of FATI (First Aggregate, Then Infer) and FITA (First Infer, Then Aggregate) are optimized through a simple and efficient tuning strategy.

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M.H. Fazel Zarandi, S.M. Hadian and M.S. thesis, Development a Neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis, Department of I.E. Amirkabir University of technology, 2003.

Cited By

Martínez-Soto RCastillo OAguilar L(2014)Type-1 and Type-2 fuzzy logic controller design using a Hybrid PSO-GA optimization methodInformation Sciences: an International Journal10.1016/j.ins.2014.07.012285:C(35-49)Online publication date: 20-Nov-2014
https://dl.acm.org/doi/10.1016/j.ins.2014.07.012

Index Terms

Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis
    2. Machine learning approaches
      1. Neural networks

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cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 18, Issue 1

January 2007

104 pages

ISSN:1064-1246

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IOS Press

Netherlands

Publication History

Published: 01 January 2007

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Cited By

Martínez-Soto RCastillo OAguilar L(2014)Type-1 and Type-2 fuzzy logic controller design using a Hybrid PSO-GA optimization methodInformation Sciences: an International Journal10.1016/j.ins.2014.07.012285:C(35-49)Online publication date: 20-Nov-2014
https://dl.acm.org/doi/10.1016/j.ins.2014.07.012

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