Hybrid Fuzzy Convolution Model and its Application in Predictive Control-Reference-Cited by-同舟云学术

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Hybrid Fuzzy Convolution Model and its Application in Predictive Control

Published:2000-05 Issue:4 Volume:78 Page:597-604
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Abonyi J.,Bódizs Á.,Nagy L.,Szeifert F.

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference26 articles.

1. Nonlinear black-box modeling in system identification: a unified overview;Sjoberg;Automatica,1995

2. Fuzzy Modeling for Control;Babuska,1998

3. Bossely, K. M., 1997, Neurofuzzy modelling approaches in system identification, PhD Thesis, (University of Southampton, UK).

4. ASMOD—an algorithm for adaptive spline modeling of observation data;Kavli;Int J Control,1993

5. Multiple Model Approaches to Modelling and Control,1997

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2. Application of non-linear dynamic optimization in advanced process control of product grade transitions of polymerization processes;Computer Aided Chemical Engineering;2010

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5. Interpretable Semi-Mechanistic Fuzzy Models by Clustering, OLS and FIS Model Reduction;Interpretability Issues in Fuzzy Modeling;2003

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