PREDICTION OF THE STATE OF DYNAMIC SYSTEMS BASED ON MEASUREMENT DATA

被引：1

作者：

Novoselov, O. N. ^{[1
]}

Gufeld, I. L. ^{[2
]}

机构：

[1] Moscow State Forest Univ, Moscow, Russia

[2] Russian Acad Sci, Inst Earth Phys, Moscow V71, Russia

来源：

MEASUREMENT TECHNIQUES | 2016年 / 58卷 / 10期

关键词：

dynamic system; diagnostics; prediction; catastrophic state; difference equation for the evolution of state; field of solutions; megaseismic event; subduction zone; EARTHQUAKE PREDICTION;

D O I：

10.1007/s11018-015-0848-2

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：1095 / 1101

页数：7

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