Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise

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Autori principali: Wei Wang, Chunyan Han, Lifeng Ma, Xiaojian Yi
Natura: Artículo Open Access
Pubblicazione: Wiley 2024
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author Wei Wang
Chunyan Han
Lifeng Ma
Xiaojian Yi
author_facet Wei Wang
Chunyan Han
Lifeng Ma
Xiaojian Yi
Wei Wang
Chunyan Han
Lifeng Ma
Xiaojian Yi
collection Wiley Open Access
contents Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise Wei Wang Chunyan Han Lifeng Ma Xiaojian Yi International Journal of Robust and Nonlinear Control AbstractThis article is concerned with the optimal sequential fusion filter design issue for a class of sampled‐data systems subject to random transmission delays and multiplicative noise. The considered delay is modeled as a multistate Markov chain, while the multiplicative noise corrupting the observation measurements is assumed be a white noise sequence with known statistical properties. First, by reorganizing the original measurements, the solvability of the addressed problem is cast into the feasibility of an optimal estimation issue for the hybrid Markovian jump system without delays. Then, an optimal sequential fusion filter is constructed by utilizing a dynamic model with finite jumps on basis of the arrival order of measurements from different sensors, guaranteeing estimation performances both at sampling instants and within the sampling intervals. Moreover, the desired estimator gains can be computed via solving a series of coupled differential Riccati equations with jumps and coupled differential Lyapunov equations. Further, a stationary sequential fusion filter is achieved with the guarantee of the exponentially mean‐square stability. Finally, two simulation examples are provided to verify the validity of the proposed algorithms. 10.1002/rnc.7331 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/rnc.7331
format Artículo Open Access
id wiley_oa_10_1002_rnc_7331
institution Wiley Open Access
license_str_mv http://onlinelibrary.wiley.com/termsAndConditions#vor
publishDate 2024
publisher Wiley
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spellingShingle Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise
Wei Wang
Chunyan Han
Lifeng Ma
Xiaojian Yi
International Journal of Robust and Nonlinear Control
Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise Wei Wang Chunyan Han Lifeng Ma Xiaojian Yi International Journal of Robust and Nonlinear Control AbstractThis article is concerned with the optimal sequential fusion filter design issue for a class of sampled‐data systems subject to random transmission delays and multiplicative noise. The considered delay is modeled as a multistate Markov chain, while the multiplicative noise corrupting the observation measurements is assumed be a white noise sequence with known statistical properties. First, by reorganizing the original measurements, the solvability of the addressed problem is cast into the feasibility of an optimal estimation issue for the hybrid Markovian jump system without delays. Then, an optimal sequential fusion filter is constructed by utilizing a dynamic model with finite jumps on basis of the arrival order of measurements from different sensors, guaranteeing estimation performances both at sampling instants and within the sampling intervals. Moreover, the desired estimator gains can be computed via solving a series of coupled differential Riccati equations with jumps and coupled differential Lyapunov equations. Further, a stationary sequential fusion filter is achieved with the guarantee of the exponentially mean‐square stability. Finally, two simulation examples are provided to verify the validity of the proposed algorithms. 10.1002/rnc.7331 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise
topic International Journal of Robust and Nonlinear Control
url https://onlinelibrary.wiley.com/doi/10.1002/rnc.7331