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Vol 186
Pages:
181
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Advance of the metallurgical limestone shaft kilning process control system

Authors:
N. I. Koteleva
About authors
  • Saint Petersburg State Mining Institute (Technical University)
Date submitted:
2009-08-01
Date accepted:
2009-10-08
Date published:
2010-02-01

Abstract

Today at management system engineering by metallurgical processes used to special methods of the control theory such as optimal, neuro-fuzzy and adaptive methods. First of all, it is connected with increase of problems complexity maintained in control process. In article possibility of application of neural networks is considered at improvement of a control system by process of mine roasting of limestone, are described the neural network scheme controls and the basic stages of its construction.

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References

  1. Власов К.П. Теория автоматического управления: Учеб. пособие. Харьков: Гуманитарный центр, 2006. 525 с.
  2. Крисилов В.А. Представление исходных данных в задачах нейросетевого прогнозирования / В.А.Крисилов, К.В.Чумичкин, А.В.Кондратюк // Сб. научных трудов: В 2 частях / МИФИ. М., 2003. Ч.1. С.184-191.
  3. Методы робастного, нейро-нечеткого и адаптивного управления: Учебник / Под ред. Н.Д.Егупова. М.: Изд-во МГТУ им. Н.Э.Баумана, 2002. 744 с.
  4. Хайкин С. Нейронные сети: Полный курс: Пер. с англ. М.: Издательский дом «Вильямс», 2008. 1104 с.

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