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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