Representative information models for monitoring and control in the conditions of uncertainty
Victor L. Lazarev · 2015
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.