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Audiovisual . 2020
License: CC BY
Data sources: Datacite
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Audiovisual . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Audiovisual . 2020
License: CC BY
Data sources: Datacite
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Noise Investigation for Modulating Function based PDE Observer

appsOther research productkeyboard_double_arrow_right Audiovisual 12 Jul 2020Publisher:ZenodoFunded by:EC | PURE-WATER
Authors: Noack, Matti; Ghaffour, Lilia;

doi: 10.5281/zenodo.4609920 , 10.5281/zenodo.4609919

Noise Investigation for Modulating Function based PDE Observer

Abstract

The corresponding non-asymptotic observer design method was derived and demonstrated for measurment signals without noise. However, the integral transform approach of using Modulating Functions is very well suited for mitigating the impact of sensor noise. That is why, different simulative tests have been performed with different levels of measurement noise (low, medium, high). The available files include measurement and error plots as well as videos of the spatially distributed observer over time.

see readme file for further information

Related Organizations
Keywords

Modulating Functions, Sensor noise, Partial Differential Equations, State Estimation, Non-asymptotic Estimation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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