In the paper, the hybrid predictive control based on a fuzzy model is presented. The identification methodology for a nonlinear system with discrete state-space variables by combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for hybrid predictive control design where the optimization problem is solved by the use of genetic algorithms. An illustrative experiment on a hybrid tank system is conducted to present the benefits of the proposed approach.
|Title of host publication||2006 IEEE International Conference on Fuzzy Systems|
|Number of pages||7|
|Publication status||Published - 2006|
|Event||2006 IEEE International Conference on Fuzzy Systems - s.l., Vancouver, BC, Canada|
Duration: 16 Jul 2006 → 21 Jul 2006
|Conference||2006 IEEE International Conference on Fuzzy Systems|
|Period||16/07/06 → 21/07/06|