Hybrid convolution model and its application in predictive pH control

J. Abonyi, Tibor Chován, Lajos Nagy, F. Szeifert

Research output: Article

4 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
JournalComputers and Chemical Engineering
Volume23
Issue numberSUPPL. 1
DOIs
Publication statusPublished - jún. 1 1999

Fingerprint

Convolution
Impulse response

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Hybrid convolution model and its application in predictive pH control. / Abonyi, J.; Chován, Tibor; Nagy, Lajos; Szeifert, F.

In: Computers and Chemical Engineering, Vol. 23, No. SUPPL. 1, 01.06.1999.

Research output: Article

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