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Identification of nonlinear systems using Gaussian mixture of local models

Abonyi, János and Chován, János Tibor and Szeifert, Ferenc (2001) Identification of nonlinear systems using Gaussian mixture of local models. HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY, 29 (2). pp. 129-134. ISSN 0133-0276

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Abstract

Identification of operating regime based models of nonlinear dynamic systems is addressed. The operating regimes and the parameters of the local linear models are identified directly and simultaneously based on the Expectation Maximization (EM) identification of Gaussian Mixture Model (GMM). The proposed technique is demonstrated by means of the identification of a neutralization reaction in a continuously stirred tank reactor .

Item Type: Article
Uncontrolled Keywords: Operating regime based model, expectation maximization, Takagi-Sugeno fuzzy model, nonlinear system
Subjects: Q Science / természettudomány > QD Chemistry / kémia
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 04 Apr 2024 13:55
Last Modified: 04 Apr 2024 13:55
URI: https://real.mtak.hu/id/eprint/191833

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