NEURO-FUZZY MODELING FOR PREDICTIVE CONTROL SYSTEMS WITH COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTION

Authors

Yusupbekov Nodirbek, Tashkent State Technical University named after Islam KarimovFollow
Shukhrat Gulyamov, Tashkent State Technical University named after Islam KarimovFollow
Malika Doshchanova, Tashkent University of Information Technology named after Muhammad Al-KhorazmiFollow

Abstract

The paper implements a modification of a fuzzy neural network, which is suitable for predictive control purposes. Adaptation of a multidimensional programmable controller based on a neural algorithm for the back propagation of forecasting errors is proposed, as well as neural parametric identification of a fuzzy mathematical model of complex technological processes and production based on experimental data and expert estimates.

First Page

73

Last Page

83

References

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Recommended Citation

Nodirbek, Yusupbekov; Gulyamov, Shukhrat; and Doshchanova, Malika (2020) "NEURO-FUZZY MODELING FOR PREDICTIVE CONTROL SYSTEMS WITH COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTION," Chemical Technology, Control and Management: Vol. 2020: Iss. 1, Article 7.
DOI: https://doi.org/10.34920/2020.1.73-83