Multi-Optional Hybrid Functions Entropy Doctrine Advantages for a State Maximal Probability Determination

Andriy Viktorovich Goncharenko

doi:10.2478/tar-2020-0004

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Multi-Optional Hybrid Functions Entropy Doctrine Advantages for a State Maximal Probability Determination

Transactions on Aerospace Research

Volume 2020 (2020): Issue 1 (March 2020)

By: Andriy Viktorovich Goncharenko

Open Access

|Apr 2020

Abstract

The presented paper considers a comparison of the traditional methods for the state maximal probability determination to the proposed hybrid probabilistic and variational concept. It is shown the advantages of the described multi-optional hybrid-effectiveness functions uncertainty measure conditional optimization doctrine in the sense of avoiding the traditional ways analytical complicatedness concerning the maximal probability of the possible state determination. The results of the numerical example are presented.

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Articles in this issue

DOI: https://doi.org/10.2478/tar-2020-0004 | Journal eISSN: 2545-2835

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Language: English

Page range: 53 - 65

Published on: Apr 18, 2020

Published by: ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

entropy,

dynamic state,

risk,

Markovian random process

Related subjects:

Engineering,

Introductions and overviews,

Materials sciences, other,

Physics,

Physics, other

© 2020 Andriy Viktorovich Goncharenko, published by ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 2020 (2020): Issue 1 (March 2020)