Issue |
E3S Web Conf.
Volume 449, 2023
International Scientific and Practical Conference “Priority Directions of Complex Socio-Economic Development of the Region” (PDSED 2023)
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Article Number | 04010 | |
Number of page(s) | 8 | |
Section | Efficient Use of Innovation and Investment Potential in Improving the Competitiveness of the Regional Economy | |
DOI | https://doi.org/10.1051/e3sconf/202344904010 | |
Published online | 16 November 2023 |
Development of algorithms for prediction of the technological process
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, 100000, Tashkent, Uzbekistan
2 Termez State University, Termez, Uzbekistan
* Corresponding author: rsherkul@inbox.ru
This article discusses the development of algorithms for predicting and automatically controlling the process of microalgae cultivation. For the operational management of production, it is necessary to be able to evaluate the values of the criterion during the process for short periods of time and predict the influence of control actions on the optimality criterion. Since the cultivation process can be carried out in periodic or continuous modes, it is necessary to consider the possibilities and conditions for choosing the optimality criterion. For continuous mode, when at each moment of time the state of the process is determined only by the parameters of the state and does not depend on the state of the process at previous moments of time, an estimation instant can be used. In this case, the criterion will have the meaning of the instantaneous value of the process productivity, referred to profit. In this case, it is a criterion that is directly related to the profit of the considered class of objects. Therefore, it is expedient to choose an optimality criterion in the form of a target product maximization problem. It follows from this expression that for N cultivators connected in series, the total residence time T = 1/λN must be distributed equally among all cultivators, if individually they have the same volume.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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