Hybrid fuzzy convolution model and its application in predictive control

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

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper a new method for synthesizing nonlinear, control-oriented process models is presented. The proposed hybrid fuzzy convolution model (HFCM) consists of a steady-state fuzzy model and a gain-independent impulse response model. The proposed HFCM is applied in model based predictive control of a laboratory-scale electrical water-heater. Simulation and real-time studies confirm that the method is capable of controlling this delayed and distributed parameter system with a strong nonlinear feature.

Original languageEnglish
Pages (from-to)597-604
Number of pages8
JournalChemical Engineering Research and Design
Volume78
Issue number4
DOIs
Publication statusPublished - May 2000

Keywords

  • Fuzzy modelling
  • Impulse response model
  • Model-based control
  • Predictive control

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)

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