Fuzzy-model-based hybrid predictive control

Núñez A; Sáez D; Oblak, S; Skrjanc I

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. © 2008 ISA.

Más información

Título según WOS: Fuzzy-model-based hybrid predictive control
Título según SCOPUS: Fuzzy-model-based hybrid predictive control
Título de la Revista: ISA TRANSACTIONS
Volumen: 48
Número: 1
Editorial: Elsevier Science Inc.
Fecha de publicación: 2009
Página de inicio: 24
Página final: 31
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0019057808000682
DOI:

10.1016/j.isatra.2008.10.007

Notas: ISI, SCOPUS