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Prediction of the State of Dynamic Systems Based on Measurement Data


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详细

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.

作者简介

O. Novoselov

Moscow State University of Forestry

编辑信件的主要联系方式.
Email: onn-aan@yandex.ru
俄罗斯联邦, Moscow

I. Gufeld

Institute of Earth Physics, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: igufeld@korolev-net.ru
俄罗斯联邦, Moscow

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