Hybrid predictive control based on fuzzy model

Conference paper (2006)

Authors

Alfredo Nunez Universidad de Chile

Doris Sáez Universidad de Chile

Simon Oblak University of Ljubljana

Igor Skrjanc University of Ljubljana

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Published Date

2006

Language

English

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Abstract

In the paper, the hybrid predictive control based on a fuzzy model is presented. The identification methodology for a nonlinear system with discrete state-space variables by combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for hybrid predictive control design where the optimization problem is solved by the use of genetic algorithms. An illustrative experiment on a hybrid tank system is conducted to present the benefits of the proposed approach.