Hybrid predictive control based on fuzzy model

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Hybrid predictive control based on fuzzy model

Conference Paper (2006)

Author(s)

Alfredo Núñez (Universidad de Chile)

Doris Sáez (Universidad de Chile)

Simon Oblak (University of Ljubljana)

Igor Skrjanc (University of Ljubljana)

Affiliation

External organisation

DOI related publication

https://doi.org/10.1109/FUZZY.2006.1681970 Final published version

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https://resolver.tudelft.nl/uuid:7f9a8c80-663f-4a85-9eeb-a0b313965cb1

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Publication Year

2006

Language

English

Affiliation

External organisation

Article number

1681970

Pages (from-to)

1947-1953

ISBN (print)

['0780394887', '9780780394889']

Event

2006 IEEE International Conference on Fuzzy Systems (2006-07-16 - 2006-07-21), s.l., Vancouver, BC, Canada

Downloads counter

143

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.