Development of Neural Network Model of Regulator for Automatic Control System of Technical Object in Absence of Mathematical Model of Object

Author(s):  
L.Yu. Emaletdinova ◽  
A.N. Kabirova
2020 ◽  
pp. 81-86
Author(s):  
Yu.G. Kabaldin ◽  
D.A. Shatagin ◽  
M.S. Anosov ◽  
A.M. Kuz'mishina

The formation of chips during the processing of various materials was studied. The relationship between the type of chips, the type of crystal lattice of the material and the number of sliding systems is shown. A neural network model of chip formation is developed, which allows predicting the type of chips. An intelligent control system for the process of chip formation during cutting is proposed. Keywords: chip formation, crystal lattice, neural network model, type of chips. [email protected]


2016 ◽  
Vol 3 (1) ◽  
pp. 15-23
Author(s):  
Mareks Šlihta ◽  
Vladimirs Šestakovs ◽  
Ramachandran Karunanidhi

Abstract This article presents a mathematical model estimating the probability of successful completion of the aircraft’s flight in case of aviation equipment failure in flight. This paper shows the relationship between the aircraft’s automatic control system and flight safety. The calculations of probability are made for the successful completion of the flight on Boeing 737 aircraft when the automatic control system has failed.


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