Información del artículo
Resumen
En este trabajo se presenta el sintonizado del Regulador Lineal Cuadrático (LQR) mediante la técnica de incertidumbre acotada en los datos o Bounded Data Uncertainties (BDU) con el fin de mejorar la robustez del sistema, planteándose como un Min-Max donde se busca la mejor solución en el peor escenario posible. Así se ofrece un nuevo método guiado de ajuste del LQR, considerando los límites de la incertidumbre. La aplicación a sistemas multidimensionales no es trivial, pues presenta la forma de un Two-Point Boundary Value Problem (TPBVP), el cual se resuelve iterativamente.
Palabras clave:
Técnicas Minimax
Regularización
Método de Control LQR
Robustez,
Incertidumbre
Ecuaciones Matriciales de Riccati
Problema de Valor Límite
Sistemas Multidimensionales
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