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the article proposes an automated intelligent process control system for the storage of perishable oilseed raw materials based on phase-control. To solve the problem of phasing the process parameters, the modified Saaty method is used. In order to optimize the description, the obtained membership functions were approximated in the Maple symbolic mathematics package.

  • Ссылка в интернете
  • DOI
  • Дата создание в систему UzSCI 10-01-2020
  • Количество прочтений 184
  • Дата публикации 19-10-2018
  • Язык статьиIngliz
  • Страницы164-167
English

the article proposes an automated intelligent process control system for the storage of perishable oilseed raw materials based on phase-control. To solve the problem of phasing the process parameters, the modified Saaty method is used. In order to optimize the description, the obtained membership functions were approximated in the Maple symbolic mathematics package.

Имя автора Должность Наименование организации
1 Kabulov N.A. 100075, Tashkent, Uzbekistan, Tashkent State Technical University, 2 University Street Phone: +99890-142-97-69, e-mail: kabulov69@mail.ru Uzbekistan, Tashkent State Technical University
Название ссылки
1 1. N.R. Yusupbekov, R.A. Aliev, R.R. Aliev, A.N. Yusupbekov. Intellectual control systems and decision making. –T.: State Scientific Publishing House "Uzbekistan Million Encyclopedia", 2014. - 490 p. 2. Jing-Nang Lee, Tsung-Min Lin, Chien-Chih Chen. Modeling Validation and Control Analysis for Controlled Temperature and Humidity of Air Conditioning System // The Scientific World Journal. – 2014. - Vol. 2014.- P.10 p. 3. Antonio, C. Caputo. Capsule, Pacifico M. Pelagagge // Applied Thermal Engineering. - 2000. - Vol. 20. - P. 49– 67. 4. HVAC system / S. Soyguder, M. Karakose, H. Alli // Soyguder, S. Design and simulation of PID-type selftuning. - 2009. - Vol. 36. pp. 4566-4573. 5. Soyguder, S. Soyguder, S. Alli // Expert Systems with Applications. - 2010. - Vol. 37. - P. 2072-2080. 6. Krushel, E. G. Nonlinear microclimate control algorithms / E. G. Krushel, V. G. Semenov, I. V. Stepanchenko, V. V. Surgutanov // Izvestiya VolgGTU. - 2007. - № 3. - p. 89-92. 7. Rutkovskaya, D. Neural networks, genetic algorithms and fuzzy systems / D. Rutkovskaya, M. Pilinsky, L. Rutkovsky; translation from Polish I.D. Rudinsky. - M .: Hotline - Telecom, 2006. - 452 p. 8. Rotshtein, A. P. Intellectual identification technologies: fuzzy logic, genetic algorithms, neural networks. - Vinnitsa: UNIVERSUM-Vinnitsa, 1999. - 320 p. 9. Fuzzy sets in models of control and artificial intelligence / A.N. Averkin [et al.]; under. Ed. D. A. Pospelov. - M.: Science. Ch. Ed. Phys.-Mat. lit., 1986. - 312 p. 10. Shtovba, S. D. Introduction to the theory of fuzzy sets and fuzzy logic / S. D. Shtovba. - Vinnitsa: ContinentPrim., 2003. - 198 p. 11. Fuzzy sets in models of control and artificial intelligence / A. N. Averkin [et al.]; Ed. D. A. Pospelov. - M.: Science. Ch. Ed. Phys.-Mat. lit., 1986. - 312 p
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