Hybrid predictive control based on fuzzy model

Alfredo Núñez; Doris Sáez; Simon Oblak; Igor Skrjanc

doi:10.1109/FUZZY.2006.1681970

Hybrid predictive control based on fuzzy model

Alfredo Núñez, Doris Sáez^*, Simon Oblak, Igor Skrjanc

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2006 IEEE International Conference on Fuzzy Systems
Pages	1947-1953
Number of pages	7
DOIs	https://doi.org/10.1109/FUZZY.2006.1681970
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Fuzzy Systems - s.l., Vancouver, BC, Canada Duration: 16 Jul 2006 → 21 Jul 2006

Conference

Conference	2006 IEEE International Conference on Fuzzy Systems
Country/Territory	Canada
City	Vancouver, BC
Period	16/07/06 → 21/07/06

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10.1109/FUZZY.2006.1681970

Cite this

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title = "Hybrid predictive control based on fuzzy model",

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.",

author = "Alfredo N{\'u}{\~n}ez and Doris S{\'a}ez and Simon Oblak and Igor Skrjanc",

year = "2006",

doi = "10.1109/FUZZY.2006.1681970",

language = "English",

isbn = "0780394887",

pages = "1947--1953",

booktitle = "2006 IEEE International Conference on Fuzzy Systems",

note = "2006 IEEE International Conference on Fuzzy Systems ; Conference date: 16-07-2006 Through 21-07-2006",

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AU - Núñez, Alfredo

AU - Sáez, Doris

AU - Oblak, Simon

AU - Skrjanc, Igor

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=34250776932&partnerID=8YFLogxK

U2 - 10.1109/FUZZY.2006.1681970

DO - 10.1109/FUZZY.2006.1681970

M3 - Conference contribution

AN - SCOPUS:34250776932

SN - 0780394887

SN - 9780780394889

SP - 1947

EP - 1953

BT - 2006 IEEE International Conference on Fuzzy Systems

T2 - 2006 IEEE International Conference on Fuzzy Systems

Y2 - 16 July 2006 through 21 July 2006

ER -

Hybrid predictive control based on fuzzy model

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