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543.422 Ѳ ̲ί ֲ̲ -ֲ в: ʲ ...

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140 .


, - , , 糿 [110-112]. ( l ), 糿 :

   

(x,t) ;

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q(x,t) .

:

   

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, f s (t ), f b (t ).

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s M (t) , t.

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f b(t) 糿

   

Dgr 糿 ;

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R2 .

q(r,t) :



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541.128.13 .. , - . , . , ., .. , - . , ., .. , - . , ., .. , - . . .Ͳ ֲ ò˲ Ͳ ˲ . , , 䳺 . , ...

ISSN 1813-6796 ² 2012 6 , 677.025 . . , . . ͲͲ Ҳ ’ Ͳ ' - , ...

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685.513.685 IDENTIFICATION OF THE PARAMETERS OF ELECTRO-MECHANICAL SYSTEM MODEL BASED ON GENETIC ALGORITHMS S. Baluta, L. Kopulova, J. Klymenko National University of Food Technologies Key words: ABSTRACT Two-mass mechanical model The article presents a method of identification based on genetic Electro mechanical systems algorithms, the mechanical parameters and their optimization Genetic algorithms for a two-mass electromechanical system. An algorithm for the...

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