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Resumen

 

OPTIMIZATION OF THE BASE OF RULES OF A DIFFUSE CONTROLLER, BY MEANS OF TECHNICAL STOCHASTIC AS GENETIC ALGORITHMS AND SIMULATED ANNEALING

OPTIMIZACION DE LA BASE DE REGLAS DE UN CONTROLADOR DIFUSO, MEDIANTE TECNICAS ESTOCASTICAS COMO ALGORITMOS GENETICOS Y EL SIMULATED ANNEALING
Ing. José Alfredo Balcucho Mogollón.
Ph.D. Oscar Eduardo Gualdrón Guerrero.

Abstract: The acting of the Diffuse Controllers depends in great measure of the correct election of its linguistic control rules and membership functions, hence it is very important to have a technique of adjustment of these parameters according to the process that he/she wants to be controlled. In this work he shows up a method of adjustment of the bases of rules of a Diffuse previously established Controller using technical stochastic as the Genetic Algorithms and Simulated Annealing and later on he/she will be proven in different systems by means of simulation the grade of robustness that said method of optimization obtained.

Resumen: El desempeño de los Controladores Difusos depende en gran medida de la correcta elección de sus reglas de control lingüísticas y funciones de membresía, por ello es muy importante contar con una técnica de ajuste de estos parámetros de acuerdo al proceso que desea ser controlado. En este trabajo se presenta un método de ajuste de las bases de reglas de un Controlador Difuso previamente establecidas usando técnicas estocásticas como los Algoritmos Genéticos y el Simulated Annealing y posteriormente se comprobará en diferentes sistemas mediante simulación el grado de robustez que dicho método de optimización alcanzó.

Palabras clave: Genetic algorithms, Controller Fuzzy, Level, Optimization, Simulated Annealing, Robustness, Temperature.