
New information technologies in the estimation of stationary modes of the third type systems
Author(s) -
V. V. Grigorenko,
Yu. V. Bashkatova,
Л. Шакирова,
Anton Egorov,
N. B. Nazina
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/5/052034
Subject(s) - attractor , pairwise comparison , homogeneity (statistics) , phase space , kinematics , type (biology) , state space , computer science , construct (python library) , mathematics , stability (learning theory) , artificial intelligence , statistics , machine learning , mathematical analysis , physics , geology , paleontology , classical mechanics , thermodynamics , programming language
More than 70 years ago, W. Weaver introduced the classification of all systems of nature. A special place in this classification was allocated to the third type systems, which (as was proved over the past 20 years) do not possess statistical stability. For such systems, it is proposed to construct pairwise comparison matrices of samples that demonstrate the lack of their homogeneity. In this regard, new invariants and new models are introduced to describe the stationary modes of the third type systems and their kinematics (motion) in state phase space. The parameters of the pseudo-attractors are calculated.