DocumentCode
734390
Title
Representative information models for monitoring and control in the conditions of uncertainty
Author
Lazarev, Victor L.
Author_Institution
ITMO Univ., St. Petersburg, Russia
fYear
2015
fDate
19-21 May 2015
Firstpage
54
Lastpage
57
Abstract
In the paper are observed the issues of information models synthesis based on the "entropy" approach. There are presented variants of models adapted to different situations. Also are designed recommendations and the criteria for specific options selection. The proposed models are based on the standard statistical characteristics of analyzed parameters usage, and are compact and convenient for solving various problems of monitoring and control, especially in the conditions of uncertainty.
Keywords
entropy; statistical analysis; control; entropy approach; information models synthesis; monitoring; options selection; parameters usage; representative information models; statistical characteristics; uncertainty conditions; Adaptation models; Analytical models; Entropy; Estimation; IP networks; Monitoring; Uncertainty; conditions of uncertainty; control; entropy potential; information models; monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4673-6960-2
Type
conf
DOI
10.1109/SCM.2015.7190408
Filename
7190408
Link To Document