Similarity check Numerical and Experimental for Optimal Sensor Location in Lumped and Distributed Parameter System

Julan, Hernadi Similarity check Numerical and Experimental for Optimal Sensor Location in Lumped and Distributed Parameter System. IAENG International Journal of Computer Sciences.

Text Similarity check Numerical and Experimental.pdf Download (2MB)

Abstract

In estimating parameters, a small sample with
high information content is preferable to a large sample but
there is insufficient information. Therefore, the selecting of the
optimal sensor location becomes a crucial problem in parameter
estimation. The problem of determining an estimation through
sampling data is a part of the inverse problems. Generally,
the inverse problem has no solution in the ordinary sense
because in most cases the known data have been contaminated
with noises. The minimizer of the least square functional is
usually taken as the solution to the inverse problem. This
article demonstrates how to implement numerically the inverse
problems in relation to parameter estimation when the noise
set is generated independently during the experiment. The
numerical simulation is applied to a distributed parameter
system of the parabolic equation to find the optimal sensor
locations for the parameter as well as to a model of a dynamic
system to obtain the optimal time for measurements. Based on
the result of the numerical experiment, it is found that different
parameters in the same system could have different optimal
samples.

Item Type:	Artikel Umum
Subjects:	Q Science > QA Mathematics
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Mathematics (S1-Matematika)
Depositing User:	Dr. Julan Hernadi
Date Deposited:	23 Dec 2022 03:40
Last Modified:	23 Dec 2022 03:40
URI:	http://eprints.uad.ac.id/id/eprint/38116

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