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 language | English |
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Pages (from-to) | 24-31 |
Number of pages | 8 |
Journal | ISA Transactions |
Volume | 48 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2009 |
Externally published | Yes |
Keywords
- Fuzzy model
- Genetic algorithm
- Hybrid systems
- Predictive control