Prediction of the State of Dynamic Systems Based on Measurement Data


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Abstract

A mathematical method is proposed for predicting the state of a dynamic system based on arriving measurement data. This method is based on early detection of the hidden evolution of the system and its transition to an extreme state by evaluating the stability and catastrophic states of the system with each new measurement. The method is illustrated by an example of predicting an earthquake in Kamchatka and the period during which it is hazardous.

About the authors

O. N. Novoselov

Moscow State University of Forestry

Author for correspondence.
Email: onn-aan@yandex.ru
Russian Federation, Moscow

I. L. Gufeld

Institute of Earth Physics, Russian Academy of Sciences

Author for correspondence.
Email: igufeld@korolev-net.ru
Russian Federation, Moscow

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