Título Fuzzy explicit simplified MPC with adjustment parameter
Autores ESCAÑO GONZÁLEZ, JUAN MANUEL, Witheephanich, K. , Roshany-Yamchi, S. , Bordons, C. , Liu, J , Lu, J , Xu, Y , Martinez, L , Kerre, EE
Publicación externa No
Medio Data Science and Knowledge Engineering for Sensing Decision Support
Alcance Conference Paper
Naturaleza Científica
Fecha de publicacion 01/01/2018
ISI 000468160600118
Abstract In this work, a novel methodology is presented to reduce the computational complexity of applying explicit solution of model based predictive control. The methodology is based on applying the functional principal component analysis, providing a mathematically elegant approach to reduce the complexity of rule-based systems, like piecewise affine systems, allowing the reduction of the number of consequents and combining and merging the antecedents. The proposed design has been validated using an industrial system model.
Palabras clave Piece wise affine; functional principal component analysis; model predictive control; fuzzy control
Miembros de la Universidad Loyola

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