Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5002823 | IFAC-PapersOnLine | 2016 | 6 Pages |
Abstract
A minmax problem statement of a problem of the parameter identification of the input/output mapping of systems is considered, based on the entropy (in the Shannon sense) of the identification error. Using the entropy based approach, a Gauss closeness measure is proposed, that simultaneously may serve as a simple test for the normality for any continuous probability distribution, suitable for applications within depended observations. A case study is considered, with confirming the full practical suitability of the theoretical considerations of the paper.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
K.R. Chernyshov, E.Ph. Jharko,