Hybrid convolution model and its application in predictive pH control

János Abonyi, Tibor Chován, Lajos Nagy, Ferenc Szeifert

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents a new method for synthesising chemical process models that combines prior knowledge and fuzzy models. The hybrid convolution model consists of a fuzzy model based steady-state, and an impulse response model based dynamic part. Prior knowledge enters to the dynamic part as a resident time distribution model of the process. The proposed approach is applied in the modelling and model based control of a highly nonlinear pH process.

Original languageEnglish
Pages (from-to)S227-S230
JournalComputers and Chemical Engineering
Volume23
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jun 1 1999

Keywords

  • Fuzzy models
  • Hybrid models
  • PH control
  • Prior knowledge
  • predictive control

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Hybrid convolution model and its application in predictive pH control'. Together they form a unique fingerprint.

  • Cite this