Hybrid predictive control based on fuzzy model

Alfredo Núñez, Doris Sáez, Simon Oblak, Igor Skrjanc

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-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 languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages1947-1953
Number of pages7
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Fuzzy Systems - s.l., Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Conference

Conference2006 IEEE International Conference on Fuzzy Systems
CountryCanada
CityVancouver, BC
Period16/07/0621/07/06

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