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ɛɚɜɥɟɧɢɟ ɛɥɨɤɚ ɜ ɪɚɛɨɱɭɸ ɨɛɥɚɫɬɶ Simulink. Ɍɚɤɠɟ ɫɭɳɟɫɬɜɭɸɬ ɤɨɦɚɧ-

ɞɵ ɭɩɪɚɜɥɟɧɢɹ ɛɥɨɤɚɦɢ:

delete_block('___') – ɭɞɚɥɢɬɶ ɛɥɨɤ ɢɡ ɪɚɛɨɱɟɣ ɨɛɥɚɫɬɢ Simulink;

set_param('obj', 'parameter1', value1, 'parameter2', value2, ...) –

ɭɫɬɚɧɨɜɢɬɶ ɩɚɪɚɦɟɬɪɵ ɞɥɹ ɨɬɞɟɥɶɧɨɝɨ ɛɥɨɤɚ ɜ ɪɚɛɨɱɟɣ ɨɛɥɚɫɬɢ Sinulink;

get_param(handle, 'parameter') – ɜɡɹɬɶ ɫɜɨɣɫɬɜɚ ɨɬɞɟɥɶɧɨɝɨ

ɛɥɨɤɚ ɜ ɪɚɛɨɱɟɣ ɨɛɥɚɫɬɢ Simulink;

find_system(sys, 'c1', cv1, 'c2', cv2, ... 'p1', v1, 'p2', v2, ...) – ɧɚɣɬɢ

ɫɢɫɬɟɦɭ, ɛɥɨɤ, ɥɢɧɢɸ ɜ ɪɚɛɨɱɟɣ ɨɛɥɚɫɬɢ Simulink;

h = add_line('sys','oport','iport', 'autorouting','on') – ɞɨɛɚɜɢɬɶ

ɥɢɧɢɸ ɜ ɪɚɛɨɱɭɸ ɨɛɥɚɫɬɶ Simulink;

delete_line('sys', 'oport', 'iport') – ɭɞɚɥɢɬɶ ɥɢɧɢɸ ɢɡ ɪɚɛɨɣ ɨɛ-

ɥɚɫɬɢ Simulink;

simplot – ɩɨɫɬɪɨɢɬɶ ɦɨɞɟɥɢɪɭɟɦɵɟ ɞɚɧɧɵɟ ɜ ɫɩɟɰɢɚɥɢɡɢɪɨ-

ɜɚɧɧɨɦ ɨɤɧɟ.

ɋɨɜɨɤɭɩɧɨɫɬɶ ɷɬɢɯ ɤɨɦɚɧɞ ɦɨɠɟɬ ɩɨɫɬɪɨɢɬɶ ɩɪɨɰɟɫɫ ɩɪɨɟɤɬɢɪɨ-

ɜɚɧɢɹ ɦɨɞɟɥɢ ɜ ɫɪɟɞɟ Simulink ɩɪɨɝɪɚɦɦɧɨ, ɛɟɡ ɭɱɚɫɬɢɹ ɨɩɟɪɚɬɨɪɚ.

3.12.3. ʿ̨̨̡̛̣̯̖̣̭̖̽̏̌̽̚ ̴̶̡̛̛̱̦ ̏ Simulink

ɉɪɢ ɩɪɨɟɤɬɢɪɨɜɚɧɢɢ ɜ Simulink ɭ ɨɩɵɬɧɨɝɨ ɢɧɠɟɧɟɪɚ ɜɨɡɧɢɤɧɟɬ

ɜɨɩɪɨɫ, ɚ ɤɚɤ ɠɟ ɫɞɟɥɚɬɶ ɮɭɧɤɰɢɢ, ɤɨɬɨɪɵɯ ɧɟɬ ɜ ɛɢɛɥɢɨɬɟɤɚɯ? ɇɚ ɫɚ-

ɦɨɦ ɞɟɥɟ, ɜ ɝɪɭɩɩɟ Simulink ɫɭɳɟɫɬɜɭɟɬ ɛɢɛɥɢɨɬɟɤɚ User-Defined Func-

tions (UDF), ɬ. ɟ. ɮɭɧɤɰɢɢ ɨɩɪɟɞɟɥɹɟɦɵɟ ɩɨɥɶɡɨɜɚɬɟɥɟɦ. ɑɬɨ ɷɬɨ ɡɧɚɱɢɬ?

Ȼɢɛɥɢɨɬɟɤɚ UDF ɜ ɜɟɪɫɢɢ Matlab 6.5 Simulink 5.0 ɫɨɫɬɨɢɬ ɢɡ ɫɥɟ-

ɞɭɸɳɢɯ ɛɥɨɤɨɜ:

Fcn – ɨɫɧɨɜɧɨɣ ɛɥɨɤ, ɢɫɩɨɥɶɡɭɸɳɢɣ ɩɟɪɟɦɟɧɧɭɸ u ɜ ɤɚɱɟɫɬɜɟ

ɚɪɝɭɦɟɧɬɚ. Ɉɧ ɩɨɡɜɨɥɹɟɬ ɫɬɪɨɢɬɶ ɫɨɛɫɬɜɟɧɧɵɟ ɱɢɫɥɟɧɧɵɟ ɮɨɪɦɭɥɵ ɜ

ɜɢɞɟ sin(u)/u+5;

Matlab Fcn – ɛɥɨɤ, ɢɫɩɨɥɶɡɭɸɳɢɣ ɜ ɫɨɛɫɬɜɟɧɧɨɦ ɫɢɧɬɚɤɫɢɫɟ

ɤɨɦɚɧɞ ɤɨɦɚɧɞɵ Matlab ɢ ɮɭɧɤɰɢɢ Matlab. ɇɚɩɪɢɦɟɪ, drim(u(1), u(2)) –

ɜ ɩɪɨɰɟɫɫɟ ɜɵɩɨɥɧɟɧɢɹ ɦɨɞɟɥɢ ɡɚɞɟɣɫɬɜɨɜɚɧ ɮɚɣɥ drim.m, ɭ ɤɨɬɨɪɨɝɨ

ɟɫɬɶ ɞɜɟ ɜɯɨɞɧɵɟ ɩɟɪɟɦɟɧɧɵɟ ɬɢɩɚ double array ɢ ɦɵ ɢɫɩɨɥɶɡɭɟɦ ɩɟɪɜɵɟ

ɢɯ ɡɧɚɱɟɧɢɹ.

S-Function – ɷɬɨɬ ɛɥɨɤ ɢɫɩɨɥɶɡɭɟɬɫɹ ɞɥɹ ɞɨɛɚɜɥɟɧɢɹ ɜ ɫɨɫɬɚɜ

ɦɨɞɟɥɢ Simulink ɧɨɜɵɯ ɩɨɥɶɡɨɜɚɬɟɥɶɫɤɢɯ S-ɮɭɧɤɰɢɣ Simulink. ɋɨɡɞɚɧɢɟ

ɷɬɢɯ ɮɭɧɤɰɢɣ ɢɡ C- ɢɥɢ FORTRAN-ɤɨɞɚ ɩɪɨɢɡɜɨɞɢɬɫɹ ɩɪɢ ɩɨɦɨɳɢ

ɤɨɦɩɢɥɹɬɨɪɚ, ɤɚɤ ɦɵ ɭɠɟ ɝɨɜɨɪɢɥɢ. Ɉɞɧɚɤɨ ɞɥɹ M ɫɭɳɟɫɬɜɭɟɬ ɫɥɟɞɭɸɳɚɹ

ɨɫɨɛɟɧɧɨɫɬɶ: ɜɵ ɦɨɠɟɬɟ ɢɫɩɨɥɶɡɨɜɚɬɶ ɜ ɷɬɨɦ ɛɥɨɤɟ M-ɮɭɧɤɰɢɸ, ɧɨ

ɫɬɪɭɤɬɭɪɚ ɤɨɞɚ ɞɨɥɠɧɚ ɛɵɬɶ ɬɪɟɛɭɟɦɨɝɨ ɮɨɪɦɚɬɚ (ɩɭɧɤɬ 3.12.4).

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x S-ɮɭɧɤɰɢɹ Builder – ɞɥɹ ɧɚɱɢɧɚɸɳɢɯ ɩɨɥɶɡɨɜɚɬɟɥɟɣ ɜ ɫɨɫɬɚɜɟ

ɛɢɛɥɢɨɬɟɤɢ UDF ɫɭɳɟɫɬɜɭɟɬ S-ɛɥɨɤ ɩɨɞɝɨɬɨɜɤɢ S-ɮɭɧɤɰɢɣ ɫ ɩɨɦɨɳɶɸ

ɫɩɟɰɢɚɥɶɧɨɝɨ ɪɟɞɚɤɬɨɪɚ, ɢɫɩɨɥɶɡɨɜɚɧɢɟ ɤɨɬɨɪɨɝɨ ɩɨɡɜɨɥɢɬ ɜɚɦ ɡɚ 7 ɲɚ-

ɝɨɜ ɩɨɫɬɪɨɢɬɶ ɧɟɨɛɯɨɞɢɦɭɸ ɮɭɧɤɰɢɸ.

Ɉɩɢɫɚɧɧɵɟ ɛɥɨɤɢ ɹɜɥɹɸɬɫɹ ɭɧɢɜɟɪɫɚɥɶɧɵɦɢ, ɩɨɡɜɨɥɹɸɬ ɛɵɫɬɪɨ

ɞɨɛɚɜɢɬɶ ɜ ɜɚɲɭ Simulink ɦɨɞɟɥɶ ɧɟɨɛɯɨɞɢɦɵɟ ɮɭɧɤɰɢɢ, ɢɫɩɨɥɶɡɭɹ ɜɟɫɶ

ɦɚɬɟɦɚɬɢɱɟɫɤɢɣ ɚɩɩɚɪɚɬ Matlab. Ƚɪɚɮɢɱɟɫɤɢ ɛɥɨɤɢ ɜ ɪɚɛɨɱɟɣ ɨɛɥɚɫɬɢ

Simulink ɩɪɟɞɫɬɚɜɥɟɧɵ ɧɚ ɪɢɫ. 3.25.

Ɋɢɫ. 3.25. Ȼɥɨɤɢ User-Defined-Function Simulink

3.12.3. S-̴̶̡̛̱̦́ ̏ ̛̖̏̔ ʺ-̡̨̔̌

ɉɚɤɟɬɵ S-ɮɭɧɤɰɢɣ – ɷɬɨ ɫɩɟɰɢɚɥɶɧɵɟ ɮɭɧɤɰɢɢ, ɤɨɬɨɪɵɟ ɩɪɢɦɟ-

ɧɹɸɬɫɹ ɫɪɟɞɨɣ Simulink ɞɥɹ ɪɚɛɨɬɵ. Ɉɞɧɚɤɨ ɫɪɟɞɚ Simulink ɫɨɞɟɪɠɢɬ ɜ

ɫɜɨɺɦ ɫɨɫɬɚɜɟ ɫɩɟɰɢɚɥɢɡɢɪɨɜɚɧɧɵɟ ɛɥɨɤɢ ɜ ɛɢɛɥɢɨɬɟɤɟ

Simulink/user de-

fined function

. Ɇɵ ɝɨɜɨɪɢɥɢ, ɱɬɨ S-function ɜ Matlab, ɦɨɝɭɬ ɛɵɬɶ ɧɚɩɢɫɚ-

ɧɵ ɧɚ M-, FORTRAN-, C-, C++-, Ada-ɤɨɞɚɯ. ȼ ɤɚɱɟɫɬɜɟ S-function ɦɨɠɧɨ

ɢɫɩɨɥɶɡɨɜɚɬɶ ɬɚɤɠɟ MEX-ɮɭɧɤɰɢɸ. Ʉɨɦɩɢɥɢɪɨɜɚɧɢɟ MEX-ɮɭɧɤɰɢɢ

ɦɨɠɟɬ ɛɵɬɶ ɩɪɨɢɡɜɟɞɟɧɨ ɫ ɩɨɦɨɳɶɸ ɥɸɛɨɝɨ ɩɨɞɞɟɪɠɢɜɚɟɦɨɝɨ Matlab

ɤɨɦɩɢɥɹɬɨɪɚ ɤɨɦɚɧɞɨɣ

mcc –S funname.

Ɉɞɧɚɤɨ ɞɥɹ ɫɨɡɞɚɧɢɹ S-ɮɭɧɤɰɢɢ ɢɡ M-ɮɭɧɤɰɢɢ ɦɨɠɧɨ ɨɛɨɣɬɢɫɶ

ɛɟɡ ɤɨɦɩɢɥɹɬɨɪɚ. ɉɨɹɫɧɸ ɧɚ ɩɪɢɦɟɪɟ.

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Ⱦɥɹ ɬɨɝɨ ɱɬɨɛɵ Simulink ɩɨɧɢɦɚɥ ɧɚɩɢɫɚɧɧɵɣ ɜɚɦɢ M-ɤɨɞ, ɧɟɨɛ-

ɯɨɞɢɦɨ, ɱɬɨɛɵ ɫɬɪɭɤɬɭɪɚ ɤɨɞɚ ɢɦɟɥɚ ɫɩɟɰɢɚɥɢɡɢɪɨɜɚɧɧɵɣ ɮɨɪɦɚɬ

S-ɮɭɧɤɰɢɢ.

Ɏɨɪɦɚɬ ɡɚɩɢɫɢ S-ɮɭɧɤɰɢɢ ɞɨɥɠɟɧ ɭɞɨɜɥɟɬɜɨɪɹɬɶ ɫɥɟɞɭɸɳɟɣ

ɫɯɟɦɟ

[sys,x0,str,ts] = sfun(t,x,u,flag,varargin),

ɝɞɟ sys – ɧɚɫɬɪɚɢɜɚɟɦɵɣ ɜɨɡɜɪɚɳɚɟɦɵɣ ɚɪɝɭɦɟɧɬ (ɞɥɹ flag=3, sys – ɜɵ-

ɯɨɞɧɨɣ ɩɚɪɚɦɟɬɪ S-ɮɭɧɤɰɢɢ

); x0 – ɡɧɚɱɟɧɢɟ ɧɚɱɚɥɶɧɨɝɨ ɫɨɫɬɨɹɧɢɹ ɫɢɫ-

ɬɟɦɵ (

ɢɝɧɨɪɢɪɭɟɬɫɹ ɩɪɢ flag = 0); str – ɩɟɪɟɦɟɧɧɚɹ ɡɚɪɟɡɟɪɜɢɪɨɜɚɧɚ ɞɥɹ

ɢɫɩɨɥɶɡɨɜɚɧɢɹ ɮɢɝɭɪɨɣ.

ts – ɜɟɤɬɨɪ, ɫɨɫɬɨɹɳɢɣ ɢɡ 2-ɯ ɡɧɚɱɟɧɢɣ [a b].

Ⱦɚɧɧɵɣ ɩɚɪɚɦɟɬɪ ɨɡɧɚɱɚɟɬ, ɱɬɨ ɧɟɨɛɯɨɞɢɦɨ ɡɚɩɭɫɤɚɬɶ ɦɨɞɟɥɶ ɤɚɠɞɵɟ

ɫɟɤɭɧɞ, ɧɚɱɢɧɚɹ ɫ

b ɫɟɤɭɧɞɵ ɩɨɫɥɟ ɧɚɱɚɥɚ ɦɨɞɟɥɢɪɨɜɚɧɢɹ. ȼ ɤɚɱɟɫɬɜɟ

default ɩɚɪɚɦɟɬɪɚ ɦɨɠɧɨ ɢɫɩɨɥɶɡɨɜɚɬɶ [–1 0] (ɡɚɩɭɫɤɚɬɶ ɜ ɤɚɠɞɵɣ ɦɨ-

ɦɟɧɬ ɦɨɞɟɥɢɪɨɜɚɧɢɹ, ɧɚɱɢɧɚɹ ɫ ɫɚɦɨɝɨ ɧɚɱɚɥɚ

); t – ɬɟɤɭɳɟɟ ɜɪɟɦɹ;

x – ɜɟɤɬɨɪ ɫɨɫɬɨɹɧɢɹ; u – ɜɯɨɞɧɨɣ ɜɟɤɬɨɪ ɡɧɚɱɟɧɢɣ; flag – ɤɥɸɱ, ɤɨɬɨɪɵɣ

ɢɫɩɨɥɶɡɭɟɬɫɹ ɞɥɹ ɦɧɨɝɨɮɭɧɤɰɢɨɧɚɥɶɧɨɫɬɢ S-ɛɥɨɤɚ;

varargin – ɫɨɜɨɤɭɩ-

ɧɨɫɬɶ ɜɯɨɞɧɵɯ ɞɚɧɧɵɯ ɦɨɞɟɥɢ ɬɢɩɚ cell.

Ɋɚɫɫɦɨɬɪɢɦ ɫɬɪɭɤɬɭɪɭ ɩɚɪɚɦɟɬɪɚ flag ɧɚ ɨɫɧɨɜɟ ɬɚɛɥ. 3.3, ɩɨ-

ɫɤɨɥɶɤɭ ɢɦɟɧɧɨ ɨɧɚ ɨɩɪɟɞɟɥɹɟɬ ɩɭɬɢ ɢɫɩɨɥɶɡɨɜɚɧɢɹ S-ɮɭɧɤɰɢɢ.

Ɍɚɛɥɢɰɚ 3.3

ɋɬɪɭɤɬɭɪɚ ɩɚɪɚɦɟɬɪɚ S-ɮɭɧɤɰɢɢ flag

flag ɉɨɞɩɪɨɝɪɚɦɦɵ S-ɮɭɧɤɰɢɢ Ɉɩɢɫɚɧɢɟ

0 mdlInitializeSizes

Ɉɩɪɟɞɟɥɹɟɬ ɨɫɧɨɜɧɵɟ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ

ɛɥɨɤɨɜ S-ɮɭɧɤɰɢɣ

1 mdlDerivatives ɉɪɨɢɡɜɨɞɢɬ ɪɚɫɱɺɬ ɩɟɪɟɦɟɧɧɵɯ

2 mdlUpdate ɉɪɨɢɡɜɨɞɢɬ ɨɬɪɚɛɨɬɤɭ ɬɚɣɦɢɧɝɚ

3 mdlOutputs ɉɨɞɝɨɬɨɜɤɚ ɜɵɯɨɞɧɵɯ ɩɟɪɟɦɟɧɧɵɯ

4 mdlGetTimeOfNextVarHit

ɉɪɨɢɡɜɨɞɢɬ ɪɚɫɱɺɬ ɫɥɟɞɭɸɳɟɝɨ ɲɚɝɚ.

ɂɫɩɨɥɶɡɭɟɬɫɹ ɬɨɥɶɤɨ ɫ mdlInitializeSizes

9 mdlTerminate

ȼɵɩɨɥɧɟɧɢɟ ɧɟɨɛɯɨɞɢɦɵɯ ɡɚɜɟɪɲɚɸɳɢɯ

ɦɨɞɟɥɢɪɨɜɚɧɢɟ ɞɟɣɫɬɜɢɣ

Ɋɚɫɫɦɨɬɪɢɦ ɩɪɢɦɟɪ S-ɮɭɧɤɰɢɢ, ɜɵɩɨɥɧɟɧɧɨɣ ɜ ɜɢɞɟ M-ɤɨɞɚ. Ⱦɥɹ

ɨɩɢɫɚɧɢɹ ɩɪɢɦɟɪɚ ɜɵɛɟɪɟɦ ɝɨɬɨɜɭɸ S-ɮɭɧɤɰɢɸ ɢɡ ɞɢɪɟɤɬɨɪɢɣ Matlab –

sfun_varargm.m

ɉɟɪɜɵɣ ɛɥɨɤ ɤɨɞɚ ɩɪɨɢɡɜɨɞɢɬ ɢɧɢɰɢɚɥɢɡɚɰɢɸ ɫɚɦɨɣ ɮɭɧɤɰɢɢ ɢ

ɨɩɪɟɞɟɥɹɟɬ ɢɫɯɨɞɵ ɩɟɪɟɦɟɧɧɵɯ ɜ ɡɚɜɢɫɢɦɨɫɬɢ ɨɬ ɩɚɪɚɦɟɬɪɚ flag, ɨ ɤɨ-

ɬɨɪɨɦ ɝɨɜɨɪɢɥɨɫɶ ɪɚɧɟɟ. ɉɪɢ ɨɬɫɭɬɫɬɜɢɢ ɩɚɪɚɦɟɬɪɚ flag ɢɥɢ ɟɝɨ ɧɟ ɩɪɚ-

ɜɢɥɶɧɨɦ ɮɨɪɦɚɬɟ ɢɫɯɨɞ otherwise ɩɪɢɜɨɞɢɬ ɤ ɨɲɢɛɤɟ ɢɧɢɰɢɚɥɢɡɚɰɢɢ

ɮɭɧɤɰɢɢ

ɜ ɰɟɥɨɦ.

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function [sys,x0,str,ts] = sfun_varargm(t,x,u,flag,varargin)

switch flag,

case 0, % Initialization

[sys,x0,str,ts]=mdlInitializeSizes(varargin{:});

case 2, % Update

sys=mdlUpdate(t,x,u,varargin{:});

case 3, % Outputs

sys=mdlOutputs(t,x,u);

case 9, % Terminate

sys=[];

otherwise

error(['Unhandled flag = ',num2str(flag)]);

end

Ⱦɚɥɟɟ ɨɩɢɫɵɜɚɸɬɫɹ ɜɫɬɪɨɟɧɧɵɟ ɮɭɧɤɰɢɢ: ɢɧɢɰɢɚɥɢɡɚɰɢɢ (ɨɩɪɟ-

ɞɟɥɹɸɳɚɹ ɤɨɥɢɱɟɫɬɜɨ ɜɯɨɞɧɵɯ ɩɟɪɟɦɟɧɧɵɯ), ɮɨɪɦɢɪɭɸɳɚɹ ɜɵɯɨɞɧɭɸ

ɩɟɪɟɦɟɧɧɭɸ, ɢ ɬ. ɞ.

function [sys,x0,str,ts]=mdlInitializeSizes(varargin)

sizes = simsizes;

nParams = nargin;

if nParams <= 0

error(['At least one parameter must be supplied']);

end

sizes.NumContStates = 0;

sizes.NumDiscStates = nParams;

sizes.NumOutputs = nParams;

sizes.NumInputs = 0;

sizes.DirFeedthrough = 1;

sizes.NumSampleTimes = 1;

sys = simsizes(sizes);

x0 = zeros(1,nParams);

str = [];

ts = [1 0];

function sys=mdlUpdate(t,x,u,varargin)

for i=1:nargin-3

sys(i) = x(i) + varargin{i};

end

function sys=mdlOutputs(t,x,u)

for i=1:length(x)

sys(i) = x(i);

end

%endfunction mdlOutputs

%[eof] sfun_varargm.m

ȼ ɨɛɳɟɦ ɫɥɭɱɚɟ S-ɮɭɧɤɰɢɹ ɜ M-ɤɨɞɟ ɞɨɥɠɧɚ ɜɵɝɥɹɞɟɬɶ ɢɦɟɧɧɨ

ɬɚɤ. Ⱦɨɛɚɜɥɟɧɢɟ ɤɨɞɚ ɩɪɨɢɡɜɨɞɢɬɫɹ ɜ ɛɥɨɤ S-ɮɭɧɤɰɢɢ ɜ ɪɚɛɨɱɟɦ ɨɤɧɟ

Simulink (ɪɢɫ. 3.26).

Ⱦɚɥɟɟ ɩɪɢɜɟɞɭ ɜɢɞɟɨɝɪɚɦɦɵ ɩɨɥɭɱɟɧɧɨɣ ɦɨɞɟɥɢ ɢ ɩɚɪɚɦɟɬɪɵ ɟɺ

ɧɚɫɬɪɨɣɤɢ ɩɨɫɪɟɞɫɬɜɨɦ ɛɥɨɤɨɜ Simulink.

115

Ɋɢɫ. 3.26. ȼɢɞɟɨɝɪɚɦɦɚ ɦɨɞɟɥɢ, ɛɥɨɤ ɜɜɨɞɚ ɩɚɪɚɦɟɬɪɨɜ S-ɮɭɧɤɰɢɹ

116

3.12.4. ˁ̨̭̯̌̏ S-̴̶̡̛̛̱̦ ̏ Simulink

ɋɨɫɬɚɜ S-ɮɭɧɤɰɢɣ ɜ Simulink ɦɨɠɧɨ ɧɚɛɥɸɞɚɬɶ ɧɚ ɪɢɫ. 3.27. ɉɨɞ-

ɪɨɛɧɨɟ ɨɩɢɫɚɧɢɟ ɞɨɫɬɭɩɧɨ ɩɨ ɤɨɦɚɧɞɟ

sfundemos ɜ Matlab.

Ɋɢɫ. 3.27. ɋɨɫɬɚɜ S-ɮɭɧɤɰɢɣ ɜ Simulink

117

ʦʽʿˀʽˁˏ ʪʸ˔ ˁʤʺʽʶʽʻ˃ˀʽʸ˔

ʦ̨̨̪̬̭̼ ̡ ̬̖̣̱̌̔̚ 1

1. ɇɚɡɧɚɱɟɧɢɟ ɍȽɄ.

2. Ʉɚɤɢɟ ɨɫɧɨɜɧɵɟ ɩɪɚɜɢɥɚ ɧɟɨɛɯɨɞɢɦɨ ɫɨɛɥɸɞɚɬɶ ɩɪɢ ɩɨɞɤɥɸɱɟɧɢɢ

ɦɨɧɢɬɨɪɨɜ ɤ ɍȽɄ?

3. Ʉɚɤɢɟ ɬɢɩɵ ɦɨɧɢɬɨɪɨɜ ɦɨɠɧɨ ɩɨɞɤɥɸɱɚɬɶ ɜ ɍȽɄ?

4. Ɍɢɩɵ DVI-ɢɧɬɟɪɮɟɣɫɨɜ.

5. Ʉɚɤɨɝɨ ɬɢɩɚ DVI-ɢɧɬɟɪɮɟɣɫ ɢɫɩɨɥɶɡɭɟɬɫɹ ɜ ɫɨɫɬɚɜɟ ɥɚɛɨɪɚɬɨɪɧɨɝɨ

ɤɨɦɩɥɟɤɫɚ?

6. Ʉɚɤɨɜɚ ɦɚɤɫɢɦɚɥɶɧɚɹ ɞɥɢɧɚ ɩɪɨɜɨɞɧɨɝɨ ɤɚɛɟɥɹ ɞɥɹ ɩɟɪɟɞɚɱɢ DVI-

ɫɢɝɧɚɥɚ?

7. Ɋɚɫɫɱɢɬɚɬɶ ɨɛɴɺɦ ɝɪɚɮɢɱɟɫɤɨɣ ɢɧɮɨɪɦɚɰɢɢ, ɩɟɪɟɞɚɜɚɟɦɨɣ ɩɨ ɨɞɧɨ

ɦɭ DVI-ɤɚɧɚɥɭ ɧɚ LCD-ɩɚɧɟɥɶ.

8. Ʉɚɤɨɜɚ ɦɚɤɫɢɦɚɥɶɧɚɹ ɩɪɨɩɭɫɤɧɚɹ ɫɩɨɫɨɛɧɨɫɬɶ DVI-ɤɚɧɚɥɚ ɩɟɪɟɞɚɱɢ

ɦɟɞɢɚɞɚɧɧɵɯ?

9. Ʉɚɤɨɣ ɬɢɩ ɤɨɞɢɪɨɜɚɧɢɹ ɩɪɢɦɟɧɹɟɬɫɹ ɩɪɢ ɩɟɪɟɞɚɱɢ ɦɟɞɢɚɫɢɝɧɚɥɚ ɩɨ

DVI-ɢɧɬɟɪɮɟɣɫɭ?

10. ȼɨɡɦɨɠɧɨ ɥɢ ɩɨɫɬɪɨɟɧɢɟ ɜɢɞɟɨɫɬɟɧɵ ɜ ɫɨɫɬɚɜɟ ɞɟɣɫɬɜɭɸɳɢɯ ɤɨɦ-

ɩɥɟɤɬɭɸɳɢɯ ɥɚɛɨɪɚɬɨɪɧɨɝɨ ɤɨɦɩɥɟɤɫɚ ɛɟɡ ɭɱɚɫɬɢɹ ɍȽɄ Matrox?

11. Ʉɚɤɢɦ ɨɛɪɚɡɨɦ ɤ 4-ɤɚɧɚɥɶɧɨɦɭ ɍȽɄ ɩɨɞɤɥɸɱɚɟɬɫɹ 6 LCD-ɦɨɧɢɬɨɪɨɜ?

12. Ʉɚɤɢɟ ɬɢɩɵ ɦɨɧɢɬɨɪɨɜ ɢɫɩɨɥɶɡɭɸɬɫɹ

ɤ ɥɚɛɨɪɚɬɨɪɧɨɦ ɤɨɦɩɥɟɤɫɟ?

13. Ɍɟɯɧɢɱɟɫɤɢɟ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ LCD-ɦɨɧɢɬɨɪɚ Samsung 400PX.

14. Ɉɛɨɫɧɭɣɬɟ ɜɵɛɨɪ ɬɢɩɚ ɦɨɧɢɬɨɪɨɜ ɜ ɥɚɛɨɪɚɬɨɪɧɨɦ ɤɨɦɩɥɟɤɫɟ.

15. Ɍɟɯɧɨɥɨɝɢɢ ɨɬɨɛɪɚɠɟɧɢɹ ɢɧɮɨɪɦɚɰɢɢ, ɩɪɢɦɟɧɹɟɦɵɟ ɜ ɩɪɨɦɵɲɥɟɧɧɨɫɬɢ.

16. ɋɬɪɭɤɬɭɪɚ ɜɢɞɟɨɚɪɯɢɜɚ ɈɄɈ.

17. Ɍɟɯɧɢɱɟɫɤɢɟ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ ɜɢɞɟɨɫɟɪɜɟɪɚ ɈɄɈ Ⱥɪɯɢɜ Ʌɚɣɬ.

18. Ʉɚɤɨɝɨ ɬɢɩɚ ɫɢɝɧɚɥɵ ɚɪɯɢɜɢɪɭɟɬ ɈɄɈ Ⱥɪɯɢɜ Ʌɚɣɬ?

19. ɋɬɪɭɤɬɭɪɚ ɤɚɧɚɥɚ ɩɟɪɟɞɚɱɢ ɞɚɧɧɵɯ ɈɄɈ Ⱥɪɯɢɜ Ʌɚɣɬ ÅÆɉɄ

ɨɩɟɪɚɬɨɪɚ.

20. Ɍɢɩɵ ɤɥɚɜɢɚɬɭɪ ɩɪɢɦɟɧɹɟɦɵɯ ɜ ɩɪɨɦɵɲɥɟɧɧɨɫɬɢ.

21. Ʉɚɤɨɝɨ ɬɢɩɚ ɤɥɚɜɢɚɬɭɪɚ ɢɫɩɨɥɶɡɭɟɬɫɹ ɜ ɫɨɫɬɚɜɟ ɥɚɛɨɪɚɬɨɪɧɨɝɨ ɤɨɦ-

ɩɥɟɤɫɚ?

22. Ʉɚɤɢɦ ɨɛɪɚɡɨɦ ɫɢɝɧɚɥɵ ɨɬ ɮɭɧɤɰɢɨɧɚɥɶɧɨɣ ɤɥɚɜɢɚɬɭɪɵ ɪɟɝɢɫɬɪɢ-

ɪɭɸɬɫɹ ɜ ȼɋɈ?

23. ɉɨɱɟɦɭ ɜ ɫɨɫɬɚɜɟ ɩɭɥɶɬɚ ɨɩɟɪɚɬɨɪɚ ɢɫɩɨɥɶɡɭɟɬɫɹ ɉɈ «Ɍɚɣɮɭɧ»?

24. ɉɨɱɟɦɭ ɜ ɫɨɫɬɚɜɟ ɩɭɥɶɬɚ ɨɩɟɪɚɬɨɪɚ ɢɫɩɨɥɶɡɭɟɬɫɹ SCADA-ɫɢɫɬɟɦɚ?

25. Ʉɚɤɚɹ SCADA-ɫɢɫɬɟɦɚ ɢɫɩɨɥɶɡɭɟɬɫɹ ɜ

ɫɨɫɬɚɜɟ ɩɭɥɶɬɚ ɨɩɟɪɚɬɨɪɚ?

26. ȼ ɤɚɤɢɯ ɪɟɠɢɦɚɯ ɪɚɛɨɬɚɟɬ ȼɢɞɟɨɫɬɟɧɚ. ɉɪɢɜɟɞɢɬɟ ɢɯ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ?

ʦ̨̨̪̬̭̼ ̡ ̬̖̣̱̌̔̚ 2

27. ɉɪɢɜɟɞɢɬɟ ɨɛɳɢɟ ɫɜɟɞɟɧɢɹ ɨ ɧɚɡɧɚɱɟɧɢɢ, ɫɬɪɭɤɬɭɪɟ ɢ ɨɫɧɨɜɧɵɯ

ɮɭɧɤɰɢɹɯ SCADA-ɫɢɫɬɟɦ.

28. Ɉɛɳɢɟ ɫɜɟɞɟɧɢɹ ɨ ɩɪɨɝɪɚɦɦɧɨɦ ɤɨɦɩɥɟɤɫɟ TRACE MODE. ɉɨɹɫɧɢ-

ɬɟ ɩɨɧɹɬɢɟ «ɤɚɧɚɥ ɩɪɨɯɨɠɞɟɧɢɹ ɢɧɮɨɪɦɚɰɢɢ». Ɍɢɩɵ ɤɚɧɚɥɨɜ.

118

29. ɇɚɡɨɜɢɬɟ ɚɬɪɢɛɭɬɵ ɤɚɧɚɥɨɜ ɜɜɨɞɚ-ɜɵɜɨɞɚ. Ɉɫɧɨɜɧɵɟ ɩɟɪɟɦɟɧɧɵɟ

(ɡɧɚɱɟɧɢɹ) ɧɚ ɤɚɧɚɥɚɯ ɢ ɩɪɨɰɟɞɭɪɵ ɢɯ ɨɛɪɚɛɨɬɤɢ.

30. Ʉɚɤɨɝɨ ɬɢɩɚ ɚɪɯɢɜɵ ɩɨɞɞɟɪɠɢɜɚɸɬɫɹ ɜ TRACE MODE? Ʉɚɤ ɜɵɩɨɥ-

ɧɢɬɶ ɧɚɫɬɪɨɣɤɭ ɆɊȼ ɞɥɹ ɚɪɯɢɜɢɪɨɜɚɧɢɹ ɢɧɮɨɪɦɚɰɢɢ ɧɚ ɤɚɧɚɥɚɯ ɜɜɨɞɚ-

ɜɵɜɨɞɚ?

31. Ɉɪɝɚɧɢɡɚɰɢɹ ɪɚɛɨɬɵ ɫɢɫɬɟɦɵ ɜ ɪɟɚɥɶɧɨɦ ɜɪɟɦɟɧɢ. ɉɪɢɨɪɢɬɟɬɵ ɜɵ-

ɩɨɥɧɟɧɢɹ ɡɚɞɚɱ. ȼɪɟɦɟɧɧɵɟ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ ɫɢɫɬɟɦɵ ɢ ɟɟ ɧɚɫɬɪɨɣɤɚ.

32. ɇɚɡɨɜɢɬɟ ɬɢɩɨɜɵɟ ɪɟɠɢɦɵ ɫɟɬɟɜɨɝɨ ɨɛɦɟɧɚ ɞɚɧɧɵɦɢ ɦɟɠɞɭ ɭɡɥɚɦɢ

ɪɚɫɩɪɟɞɟɥɟɧɧɨɣ Ⱥɋɍ Ɍɉ. ɉɪɢɜɟɞɢɬɟ ɢɯ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ.

33. Ʉɚɤ ɨɪɝɚɧɢɡɭɟɬɫɹ ɪɚɛɨɬɚ ɆɊȼ TRACE MODE ɩɪɢ ɪɚɛɨɬɟ ɜ ɫɨɫɬɚɜɟ

ɫɟɬɟɜɵɯ ɤɨɦɩɥɟɤɫɨɜ? Ɉɛɦɟɧ ɩɨ ɫɟɬɢ. ɇɚɫɬɪɨɣɤɚ ɫɟɬɟɜɨɝɨ ɨɛɦɟɧɚ.

34. Ɉɯɚɪɚɤɬɟɪɢɡɭɣɬɟ ɦɟɯɚɧɢɡɦɵ ɦɟɠɡɚɞɚɱɧɨɝɨ ɨɛɦɟɧɚ ɞɚɧɧɵɦɢ ɫ ɩɪɢ-

ɥɨɠɟɧɢɹɦɢ WINDOWS, ɩɨɞɞɟɪɠɢɜɚɟɦɵɟ ɜ TRACE MODE.

35. Ɋɚɫɫɦɨɬɪɢɬɟ ɦɟɯɚɧɢɡɦ ɞɢɧɚɦɢɱɟɫɤɨɝɨ ɨɛɦɟɧɚ ɞɚɧɧɵɦɢ (DDE) ɦɟɠ-

ɞɭ

ɆɊȼ ɢ ɷɥɟɤɬɪɨɧɧɨɣ ɬɚɛɥɢɰɟɣ Excel.

36. ɉɨɹɫɧɢɬɟ, ɤɚɤ ɨɪɝɚɧɢɡɨɜɚɬɶ ɢɧɮɨɪɦɚɰɢɨɧɧɵɣ ɨɛɦɟɧ ɆɊȼ ɫ ɛɚɡɚɦɢ

ɞɚɧɧɵɯ ɩɪɟɞɩɪɢɹɬɢɹ ɱɟɪɟɡ ɦɟɯɚɧɢɡɦ ODBC.

37. ɉɨɹɫɧɢɬɟ, ɤɚɤ ɨɪɝɚɧɢɡɨɜɚɬɶ ɢɧɮɨɪɦɚɰɢɨɧɧɵɣ ɨɛɦɟɧ ɆɊȼ ɫ ɞɪɭɝɢɦɢ

SCADA-ɫɢɫɬɟɦɚɦɢ ɫ ɢɫɩɨɥɶɡɨɜɚɧɢɟɦ ɦɟɯɚɧɢɡɦɚ OPC.

38. ɉɪɢɜɟɞɢɬɟ ɨɛɳɢɟ ɬɪɟɛɨɜɚɧɢɹ ɩɪɢ ɪɟɚɥɢɡɚɰɢɢ ɢɧɬɟɪɮɟɣɫɚ ɨɩɟɪɚɬɨɪɚ

ɚɜɬɨɦɚɬɢɡɢɪɨɜɚɧɧɨɣ ɫɢɫɬɟɦɵ.

39. Ʉɚɤɢɟ ɝɪɚɮɢɱɟɫɤɢɟ ɜɨɡɦɨɠɧɨɫɬɢ ɡɚɥɨɠɟɧɵ ɜ TRACE MODE ɞɥɹ

ɫɨɡɞɚɧɢɹ ɢɧɬɟɪɮɟɣɫɚ ɩɭɥɶɬɚ

ɨɩɟɪɚɬɨɪɚ?

40. ɉɪɢɜɟɞɢɬɟ ɯɚɪɚɤɬɟɪɢɫɬɢɤɢ ɹɡɵɤɨɜ ɩɪɨɝɪɚɦɦɢɪɨɜɚɧɢɹ, ɫɨɨɬɜɟɬɫɬ-

ɜɭɸɳɢɯ ɫɬɚɧɞɚɪɬɭ ɆɗɄ 1131.

41. Ɉɯɚɪɚɤɬɟɪɢɡɭɣɬɟ ɜɫɬɪɨɟɧɧɵɟ ɫɪɟɞɫɬɜɚ ɪɚɡɪɚɛɨɬɤɢ ɢ ɨɬɥɚɞɤɢ ɩɪɨ-

ɝɪɚɦɦ ɜ TRACE MODE.

ʦ̨̨̪̬̭̼ ̡ ̬̖̣̱̌̔̚ 3

42. ɑɬɨ ɬɚɤɨɟ Matlab ɢ ɩɨɱɟɦɭ ɨɧ ɩɪɢɦɟɧɹɟɬɫɹ ɜ ɋȺɉɊ?

43. ɑɬɨ ɬɚɤɨɟ Ɇ-ɹɡɵɤ: ɬɢɩ ɹɡɵɤɚ, ɜɨɡɦɨɠɧɨɫɬɢ, ɨɛɥɚɫɬɶ ɩɪɢɦɟɧɟɧɢɹ?

44. ɉɪɟɢɦɭɳɟɫɬɜɚ ɢ ɧɟɞɨɫɬɚɬɤɢ ɬɟɯɧɨɥɨɝɢɢ ɧɟɩɨɫɪɟɞɫɬɜɟɧɧɨɝɨ ɩɪɨ-

ɝɪɚɦɦɢɪɨɜɚɧɢɹ.

45. ɉɪɟɢɦɭɳɟɫɬɜɚ ɢ ɧɟɞɨɫɬɚɬɤɢ ɬɟɯɧɨɥɨɝɢɢ ɜɢɡɭɚɥɶɧɨ-ɨɪɢɟɧɬɢɪɨɜɚɧɧɨɝɨ

ɩɪɨɝɪɚɦɦɢɪɨɜɚɧɢɹ.

46. Ⱥɥɝɨɪɢɬɦ ɩɨɫɬɪɨɟɧɢɹ Ɇȿɏ-ɤɨɞɨɜ.

47. ɇɚɡɧɚɱɟɧɢɟ Ɇȿɏ-ɤɨɞɨɜ Matlab.

48. Ⱥɥɝɨɪɢɬɦ ɩɨɫɬɪɨɟɧɢɹ ȿɏȿ-ɤɨɞɨɜ.

49. ɇɚɡɧɚɱɟɧɢɟ

ȿɏȿ-ɤɨɞɨɜ.

50. Ⱥɥɝɨɪɢɬɦ ɩɪɨɟɤɬɢɪɨɜɚɧɢɹ Ɋ-ɤɨɞɨɜ.

51. ɇɚɡɧɚɱɟɧɢɟ Ɋ-ɤɨɞɨɜ.

52. ɑɬɨ ɬɚɤɨɟ JIT?

53. Ʉɚɤɢɟ ɬɢɩɵ ɤɨɦɩɢɥɹɬɨɪɨɜ ɢɫɩɨɥɶɡɭɸɬɫɹ ɜ Matlab?

54. ɑɬɨ ɬɚɤɨɟ mcc?

119

55. ɑɬɨ ɬɚɤɨɟ Lcc?

56. Ɉɩɢɫɚɬɶ ɨɛɳɭɸ ɤɨɧɫɬɪɭɤɰɢɸ ɨɛɴɟɤɬɚ ɬɚɣɦɟɪɚ ɜ Matlab.

57. ɉɟɪɟɱɢɫɥɢɬɟ ɨɫɧɨɜɧɵɟ ɫɜɨɣɫɬɜɚ ɨɛɴɟɤɬɚ ɬɚɣɦɟɪ ɜ Matlab.

58. Ɋɟɠɢɦɵ ɪɚɛɨɬɵ ɨɛɴɟɤɬɚ ɬɚɣɦɟɪ ɜ Matlab.

59. ɑɬɨ ɬɚɤɨɟ Simulink?

60. Ɉɩɢɲɢɬɟ ɫɬɪɭɤɬɭɪɭ S function.

61. ɉɟɪɟɱɢɫɥɢɬɟ ɛɥɨɤɢ ɩɨɥɶɡɨɜɚɬɟɥɶɫɤɢɯ ɮɭɧɤɰɢɣ ɜ Simulink.

62. ɉɟɪɟɱɢɫɥɢɬɶ ɤɨɦɚɧɞɵ ɭɩɪɚɜɥɟɧɢɹ ɦɨɞɟɥɢɪɨɜɚɧɢɟɦ ɢ ɩɪɨɝɪɚɦɦɢɪɨ-

ɜɚɧɢɹ ɩɨɥɶɡɨɜɚɬɟɥɶɫɤɢɯ ɛɥɨɤɨɜ ɜ Simulink.

ˁʿʰˁʽʶ ʸʰ˃ʫˀʤ˃˄ˀˏ

1. «DVI». ɗɥɟɤɬɪɨɧɧɵɣ ɠɭɪɧɚɥ «Hi-Fi News.ru». http://www.hifinews.ru.

Ⱦɚɬɚ ɨɛɪɚɳɟɧɢɹ 14.04.2007.

2. «ɐɢɮɪɨɜɨɟ ɩɨɞɤɥɸɱɟɧɢɟ ɀɄ ɦɨɧɢɬɨɪɨɜ». ɀɭɪɧɚɥ: «Tom’s hardvare

guide». http://www.thg.ru/graphic/20041203/index.html. Ⱦɚɬɚ ɨɛɪɚɳɟɧɢɹ

14.04.2007.

3. ȽɈɋɌ 22269–76. Ɋɚɛɨɱɟɟ ɦɟɫɬɨ ɨɩɟɪɚɬɨɪɚ. ȼɡɚɢɦɧɨɟ ɪɚɫɩɨɥɨɠɟɧɢɟ

ɷɥɟɦɟɧɬɨɜ ɪɚɛɨɱɟɝɨ ɦɟɫɬɚ.

4. ɋɪɟɞɫɬɜɚ ɜɢɡɭɚɥɢɡɚɰɢɢ ɞɥɹ ɭɩɪɚɜɥɟɧɢɹ // Intelligent enterprise. –

2006. – ʋ 6.

5. TRACE MODE 6. Ɋɭɤɨɜɨɞɫɬɜɨ ɩɨɥɶɡɨɜɚɬɟɥɹ. ȼ 2-ɯ ɬɨɦɚɯ. – 2006.

6. Ƚɥɭɯɨɜ Ɏ.ȼ. ɇɨɜɵɟ ɬɟɯɧɨɥɨɝɢɢ ɪɚɡɪɚɛɨɬɤɢ ɨɩɟɪɚɬɨɪɫɤɨɝɨ ɢɧɬɟɪɮɟɣɫɚ ɜ

SCADA TRACE MODE 6 // XI ɦɟɠɞɭɧɚɪɨɞɧɚɹ ɤɨɧɮɟɪɟɧɰɢɹ

ɍɩɪɚɜɥɟɧɢɟ ɩɪɨɢɡ-

ɜɨɞɫɬɜɨɦ ɜ ɫɢɫɬɟɦɟ TRACE MODE, Ɇ: AdAstra Research Group, Ltd, 2005.

7. Ⱦɭɲɤɨɜ Ȼ.Ⱥ., Ʌɨɦɨɜ Ȼ.Ɏ. Ɉɫɧɨɜɵ ɢɧɠɟɧɟɪɧɨɣ ɩɫɢɯɨɥɨɝɢɢ. – Ɇ.:

ȼɵɫɲɚɹ ɲɤɨɥɚ, 1977. – 335 ɫ.

8. Ʌɨɤɨɬɤɨɜ Ⱥ. ɑɬɨ ɞɨɥɠɧɚ ɭɦɟɬɶ ɫɢɫɬɟɦɚ SɋADA //ɋɨɜɪɟɦɟɧɧɵɟ ɬɟɯ-

ɧɨɥɨɝɢɢ ɚɜɬɨɦɚɬɢɡɚɰɢɢ, 1998. – ʋ 3.

9. ɅɘȻȺɒɂɇ Ⱥ.ɇ. ɋɬɚɧɞɚɪɬɧɚɹ ɬɟɯɧɨɥɨɝɢɹ ɩɪɨɝɪɚɦɦɢɪɨɜɚɧɢɹ ɤɨɧ-

ɬɪɨɥɥɟɪɨɜ // ɉɪɨɦɵɲɥɟɧɧɵɟ Ⱥɋɍ ɢ ɤɨɧɬɪɨɥɥɟɪɵ, 2000. – ʋ 5.

ˁ̨̡̛̪̭ ̡̨̨̬̖̥̖̦̱̖̥̜̔ ̛̣̯̖̬̯̱̬̼̌

1. Ⱦɴɹɤɨɧɨɜ ȼ.ɉ., Matlab 6.5 SP1/7 + Simulink 5/6. Ɉɫɧɨɜɵ ɩɪɢɦɟɧɟɧɢɹ.

ɋɟɪɢɹ «Ȼɢɛɥɢɨɬɟɤɚ ɩɪɨɮɟɫɫɢɨɧɚɥɚ». – Ɇ.: ɋɈɅɈɇ-ɉɪɟɫɫ, 2005. – 800 ɫ.: ɢɥ.

2. Ⱦɶɹɤɨɧɨɜɚ ȼ.ɉ., Ʉɪɭɝɥɨɜɚ ȼ.ȼ. «Ɇɚɬɟɦɚɬɢɱɟɫɤɢɟ ɩɚɤɟɬɵ ɪɚɫɲɢɪɟɧɢɹ

MATLAB. ɋɩɟɰɢɚɥɶɧɵɣ ɫɩɪɚɜɨɱɧɢɤ.» – ɋ. ɉɛ.: «ɉɢɬɟɪ», 2001. – 480 ɫ.

3. Lurie B.J. Classical feedback control width Matlab / Boris J. Lurie, En-

right. p. cm. – (Control Engineering; 6).

4. Ⱦɚɳɟɧɤɨ Ⱥ.Ɏ., Ʉɢɪɢɥɨɜ ȼ.ɏ., Ʌ.ȼ. Ʉɨɥɨɦɢɟɰ, ȼ.Ɏ. Ɉɪɨɛɟɣ, Matlab ɜ

ɢɧɠɟɧɟɪɧɵɯ ɢ ɧɚɭɱɧɵɯ ɪɚɫɱɺɬɚɯ

. –

Ɉɞɟɫɫɚ: «Ⱥɫɬɪɨɩɪɢɧɬ», 2003. – 214 ɫ.

˄̸̨̖̦̖̍̛̛̦̖̔̌̚

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