NDLI: Passive identification of heat equation coefficients with account for errors in estimating the state of the object and measuring system

Content Provider	Springer Nature Link
Author	Abdev, A. Zh. Abdeva, G. A.
Copyright Year	2016
Abstract	This paper describes the problem of passive identification of heat equation coefficients with account for the noise of the behavior of the object dynamics model and for the noise of the measuring system model. The use of the finite difference method allowed for reducing the solution of partial differential equations to the solution of a system of linear finite-difference and algebraic equations described by models in the form of a state space. Presentation of the heat equation in form of such a model makes it possible to apply the Kalman filter algorithm for the reliable estimation of the behavior of the object under study.
Starting Page	141
Ending Page	147
Page Count	7
File Format	PDF
ISSN	87566990
Journal	Optoelectronics, Instrumentation and Data Processing
Volume Number	52
Issue Number	2
e-ISSN	19347944
Language	English
Publisher	Allerton Press
Publisher Date	2016-06-16
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	heat equation state-space model finite-difference method passive identification of coefficients Kalman filter wavelet transform Optics, Optoelectronics, Plasmonics and Optical Devices
Content Type	Text
Resource Type	Article
Subject	Instrumentation Condensed Matter Physics Electrical and Electronic Engineering

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Passive identification of heat equation coefficients with account for errors in estimating the state of the object and measuring system