| Título |
Data-based Robust MPC with Componentwise Holder Kinky Inference |
| Autores |
MANZANO CRESPO, JOSÉ MARÍA, Limon, D. , de la Pena, D. Munoz , Calliess, J. P. , IEEE |
| Publicación externa |
No |
| Medio |
Ieee Conference On Decision And Control |
| Alcance |
Proceedings Paper |
| Naturaleza |
Científica |
| Fecha de publicacion |
01/01/2019 |
| ISI |
000560779005145 |
| Abstract |
The authors have recently developed predictive controllers based on prediction models derived from experimental data, by means of a class of Holder interpolation called kinky inference. This paper provides a step forward by proposing a novel estimation method based on componentwise Holder interpolation. This allows to explicitly consider the contribution of each component on each output, yielding better estimations. Following the procedure used in previous works, this estimation method is used to provide a predictor for a nonlinear robust data-based predictive controller, whose performance and robustness is enhanced by the new setting. The properties of the proposed controller are demonstrated in a case study. |
| Miembros de la Universidad Loyola |
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