DocumentCode :
623373
Title :
Information method of consistent identification of objects
Author :
Durgaryan, I.S. ; Pikina, G.A. ; Pashchenko, F.F. ; Pashchenko, A.F.
Author_Institution :
Inst. of Control Sci., Moscow, Russia
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
1325
Lastpage :
1330
Abstract :
The problem of construction of forecasting “input-output” models of linear and non-linear systems with random signals is considered. A consistent method of identifying such systems under the criterion of maximum of the mount of information is developed. An informational estimation is obtained of the identity of the model with the object being studied.
Keywords :
forecasting theory; identification; information theory; linear systems; nonlinear systems; consistent object identification; forecasting input-output models; informational estimation; linear systems; nonlinear systems; random signals; Entropy; Equations; Mathematical model; Object recognition; Process control; Random variables; Vectors; amount of information; conditional entropy; consistent methods of identification; entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566572
Filename :
6566572
Link To Document :
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