Petrenko T. The real time situational control systems based on multilevel knowledge representation model

The intelligence automatic control for complex objects. Situational real time control mechanism is investigate. Fuzzy sets and artificial intelligence are investigated method. Real time control method, which integrates three fazes of situational fuzzy inference: the current situation model in a quality representation from sensor information; control decision, - from a current situation model; control code - from its quality description is being researched. Model of situation is represented by multi-level structural fuzzy sets; inference mechanism is an indution operation according to the knowledge base rules. The model of dynamic situation properties is being represented on a basis of dynamic fuzzy sets. The realisation of a model in a speed control of a rolling uncoupling wagon task is given.