Algorithm for optimization of the membership function of the fuzzy control model on the basis of the probabilistic approach.

Authors

I.Kh Siddikov, Tashkent State Technical University, Department of Information processing and control system, University st. 2, 100095
S.T Yunusova, Tashkent State Technical University, Department of Information processing and control system, University st. 2, 100095
R.N Izmaylova, Tashkent State Technical University, Department of Information processing and control system, University st. 2, 100095

Abstract

The problem of optimization of the fuzzy control model of the drying unit in the cotton ginning industry operating under conditions of a priori uncertainty is considered. As an example, the process of temperature control in a drying unit is considered. As methods of optimization, it is proposed to use probabilistic methods. As an optimization parameter, the fuzzy model membership functions are used. A comparative analysis of the results obtained on the basis of simulation modeling before and after optimization is carried out.

First Page

71

Last Page

74

References

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Recommended Citation

Siddikov, I.Kh; Yunusova, S.T; and Izmaylova, R.N (2018) "Algorithm for optimization of the membership function of the fuzzy control model on the basis of the probabilistic approach.," Chemical Technology, Control and Management: Vol. 2018: Iss. 3, Article 17.
DOI: https://doi.org/10.34920/2018.4-5.71-74