Linear Filtering for Discrete Time Systems Driven by Fractional Noises

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Hauptverfasser: Han, Yuecai, Li, Yuhang
Format: Preprint
Veröffentlicht: 2024
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author Han, Yuecai
Li, Yuhang
author_facet Han, Yuecai
Li, Yuhang
contents In this paper, we study the discrete time filtering problems for linear systems driven by fractional noises. The main difficulty comes from the non-Markovian of the noises. We construct the difference equation of the covariance process through the properties of the noises and transform the filtering problem to an optimal control problem. We obtain the necessary condition that the coefficients of the optimal filter should satisfy and show there is no consistent optimal filter, which is a significant difference from the classical Kalman filter. Finally, a simple example is considered to illustrate the main results. Further more, our method could also deal with systems driven by any other colored noises, as long as the self-covariation function is known.
format Preprint
id arxiv_https___arxiv_org_abs_2412_16826
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Linear Filtering for Discrete Time Systems Driven by Fractional Noises
Han, Yuecai
Li, Yuhang
Optimization and Control
In this paper, we study the discrete time filtering problems for linear systems driven by fractional noises. The main difficulty comes from the non-Markovian of the noises. We construct the difference equation of the covariance process through the properties of the noises and transform the filtering problem to an optimal control problem. We obtain the necessary condition that the coefficients of the optimal filter should satisfy and show there is no consistent optimal filter, which is a significant difference from the classical Kalman filter. Finally, a simple example is considered to illustrate the main results. Further more, our method could also deal with systems driven by any other colored noises, as long as the self-covariation function is known.
title Linear Filtering for Discrete Time Systems Driven by Fractional Noises
topic Optimization and Control
url https://arxiv.org/abs/2412.16826