Fuzzy-model-based hybrid predictive control

Alfredo Núñez, Doris Sáez, Simon Oblak, Igor Škrjanc

Research output: Contribution to journalArticleScientificpeer-review

28 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)24-31
Number of pages8
JournalISA Transactions
Volume48
Issue number1
DOIs
Publication statusPublished - 1 Jan 2009
Externally publishedYes

Keywords

  • Fuzzy model
  • Genetic algorithm
  • Hybrid systems
  • Predictive control

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