Fuzzy-model-based hybrid predictive control

Journal article (2009)

Authors

Alfredo Nunez Universidad de Chile

Doris Sáez Universidad de Chile

Simon Oblak University of Ljubljana

Igor Skrjanc University of Ljubljana

Affiliation

External organisation

Genetic algorithm Hybrid systems Predictive control Fuzzy model

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Published Date

01-01-2009

Language

English

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Abstract

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