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Resumen

INTELLIGENT DECISION MAKING SUPPORT AID FOR CONTROL SYSTEMS

ESQUEMA DE CONSTRUCCIÓN DE UN SISTEMA INTELIGENTE DE ASISTENCIA A LA TOMA DE DECISIONES DE CONTROL
PhD. Eliezer Colina M.
Edmary Altamiranda M.
PhD. Edgar Chacón R.

Abstrac: The supervision of continuous production complex processes, involve the simultaneous achievement of decision making, monitoring and control tasks which allow keeping appropriate qualitative and quantitative performance in terms of operational and environmental security. There is a variety of classic approaches for the control actions design such as: geometrical (Wonham, 1992), algebraic (Vidyasagar, 1985) and numerical approaches (Aström, 1989). On the other hand, there also exist some new conceptions to implement regulatory decision making based on emergent approaches which uses artificial intelligence paradigms. This work propose an intelligent decision making support aid for control systems based on multiresolutional models that include qualitative and quantitative characteristics for complex processes, providing support for supervisory control design.

Resumen: La supervisión de procesos complejos de producción continua involucra la ejecución simultánea de tareas de medición, control y toma de decisiones que permiten mantener desempeños cualitativos y cuantitativos apropiados en condiciones de seguridad operacional y ambiental. Existe por un lado, una gama de enfoques clásicos como los geométricos (Wonham, 1992), los algebraicos (Vidyasagar, 1985) los numéricos (Aström, 1989), para acometer el diseño de acciones de control, mientras que por otro lado, algunas concepciones nuevas para implantar tareas de toma de decisiones regulatorias, que permiten conferir actividad a la intervención de operadores humanos, están basados en el uso de enfoques emergentes que emplean paradigmas de la inteligencia artificial. Este trabajo propone un esquema para construcción de un sistema inteligente de asistencia a la toma de decisiones, respaldado por el empleo de modelos multiresolucionales, que incluyen características cuantitativas y cualitativas de los procesos, y sirven de base para el diseño de sistemas de control supervisorio.

Palabras Clave: Intelligent Systems, Supervisory Systems, Multiresolutional Models, Intelligent Control.