Fuzzy-model-based hybrid pbkp_redictive control

Abstract:

In this paper we present a method of hybrid pbkp_redictive 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.

Año de publicación:

2009

Keywords:

• hybrid systems
• Genetic Algorithm
• Pbkp_redictive control
• Fuzzy model

Fuente:

scopus