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Optimization on the base of probability approach for the fuzzy control models of production control objects

Abstract

Optimization on the base of probability approach for the fuzzy control models of production control objects

Sinyavskaya E.D.

Incoming article date: 13.07.2014

The problem of fuzzy model optimization in this article is discussed. The fuzzy control methods are used for production processes that function in the conditions of fuzzy environment. The control systems are designed on the base of fuzzy methods. The process of temperature control at the baking chamber is discussed as example of the production processes that function in the conditions of fuzzy environment The estimation of its results are made after designing of fuzzy control model. If the results deviate from given meanings optimization is done. The probabilistic methods are used as methods of optimization. The membership functions are used as parameter of optimization. The parameters of estimation and their threshold values are assigned. The results of modeling, the parameters of fuzzy control model before and after optimization are shown here.

Keywords: fuzzy model, algorithm of optimization, the probabilistic theory, estimation of accuracy, membership functions