Stabilization of technological cycle parameters when constructing feedback control
Problemy fiziki, matematiki i tehniki, no. 2 (2023), pp. 83-88

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An approach for solving problem of stabilization of technological cycle operation parameters is proposed. The approach is based on applying the methods of neural network modeling of controlled parameters of technological operations. Modern approaches for solving such problems are considered; the procedure of hybrid intellectual adaptive control system creation is demonstrated. The proposed approach allows automating processes of development and operation of hybrid intellectual computer systems when implementing innovative solutions in the field of traffic flows control, automation in the most advanced branches of industry and agriculture.
Keywords: neural network methods, parameters stabilization, adaptive control, neuroregulator models.
@article{PFMT_2023_2_a13,
     author = {V. S. Smorodin and V. A. Prohorenko},
     title = {Stabilization of technological cycle parameters when constructing feedback control},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {83--88},
     publisher = {mathdoc},
     number = {2},
     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2023_2_a13/}
}
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V. S. Smorodin; V. A. Prohorenko. Stabilization of technological cycle parameters when constructing feedback control. Problemy fiziki, matematiki i tehniki, no. 2 (2023), pp. 83-88. http://geodesic.mathdoc.fr/item/PFMT_2023_2_a13/