Use this link to cite:
http://hdl.handle.net/2183/24844 Diseño de un control adaptativo general basado en lógica borrosa
Loading...
Identifiers
Publication date
Authors
Barragán, Antonio Javier
Enrique Gómez, Juan Manuel
Martínez, Miguel A.
Andújar-Márquez, José Manuel
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Barragán, A.J., Enrique, J.M., Martínez, M.A., Andújar, J.M. Diseño de un control adaptativo general basado en lógica borrosa. En Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de Septiembre de 2018 (pp.846-850). DOI capítulo: https://doi.org/10.17979/spudc.9788497497565.0846 DOI libro: https://doi.org/10.17979/spudc.9788497497565
Type of academic work
Academic degree
Abstract
[Resumen] En este trabajo se presenta el desarrollo que per-
mite aplicar la conocida regla del MIT para el
ajuste adaptativo de controladores borrosos de ti-
po Takagi-Sugeno (TS), junto con un ejemplo de
aplicación. El citado desarrollo se realiza desde un
punto de vista general. Esto es, el marco teórico
no impone ningún tipo de restricción sobre la di-
mensión del modelo borroso de la planta en nú-
mero de entradas, salidas o reglas. De igual for-
ma, tampoco se impone ningún tipo de restricción
al modelo en cuanto al tipo de función de perte-
nencia o la distribución en sus antecedentes. La
misma generalidad se aplica al modelo borroso del
controlador, obteniéndose un desarrollo aplicable
a cualquier sistema no lineal del que se disponga
de un modelo borroso de tipo TS.
[Abstract] In this paper, the development that allows to apply the well-known rule of MIT for the adaptive adjustment of fuzzy controllers of the Takagi-Sugeno (TS) type, is presented together with an application example. The aforementioned development is carried out from a general point of view. That is, the theoretical framework does not impose any type of restriction on the size of the fuzzy model of the plant in number of imputs, outputs or rules. Likewise, no type of restriction is imposed on the model in terms of the type of membership function or distribution in its antecedents. The same generality is applied to the fuzzy model of the controller, obtaining a development applicable to any non-linear system with a TS fuzzy model available.
[Abstract] In this paper, the development that allows to apply the well-known rule of MIT for the adaptive adjustment of fuzzy controllers of the Takagi-Sugeno (TS) type, is presented together with an application example. The aforementioned development is carried out from a general point of view. That is, the theoretical framework does not impose any type of restriction on the size of the fuzzy model of the plant in number of imputs, outputs or rules. Likewise, no type of restriction is imposed on the model in terms of the type of membership function or distribution in its antecedents. The same generality is applied to the fuzzy model of the controller, obtaining a development applicable to any non-linear system with a TS fuzzy model available.
Description
Editor version
Rights
Atribución-NoComercial 3.0 España


