Fuzzy-model-based hybrid predictive control
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 |