Dual-Mode deadbeat H2 FIR filtering for discrete-Time systems

Jung Min Pak; Choon Ki Ahn

doi:10.1016/j.sigpro.2021.108057

Dual-Mode deadbeat H₂ FIR filtering for discrete-Time systems

Jung Min Pak
, Choon Ki Ahn^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

A new receding horizon (RH) finite impulse response (FIR) filter called the dual-mode deadbeat H₂ FIR filter (DMDH2FF) is proposed for state estimation in discrete linear time-invariant (LTI) systems under external disturbances. The DMDH2FF is derived to minimize the H₂ norm subject to the deadbeat condition in the disturbance-to-estimate channel, and it can manage the horizon size in two operation modes. The DMDH2FF has better robustness against temporary model uncertainty compared with a conventional H₂ infinite impulse response filter. The performance of the DMDH2FF is demonstrated by an F-404 turbofan engine simulation.

Original language	English
Article number	108057
Journal	Signal Processing
Volume	184
DOIs	https://doi.org/10.1016/j.sigpro.2021.108057
Publication status	Published - 2021 Jul

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) [ 2020R1F1A1072428 ] and ( Ministry of Science and ICT ) (No. NRF-2020R1A2C1005449 ).

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

Dual-mode deadbeat H FIR filter
FIR Filter
H Filter
Receding horizon
State estimation

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1016/j.sigpro.2021.108057

Cite this

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title = "Dual-Mode deadbeat H2 FIR filtering for discrete-Time systems",

abstract = "A new receding horizon (RH) finite impulse response (FIR) filter called the dual-mode deadbeat H2 FIR filter (DMDH2FF) is proposed for state estimation in discrete linear time-invariant (LTI) systems under external disturbances. The DMDH2FF is derived to minimize the H2 norm subject to the deadbeat condition in the disturbance-to-estimate channel, and it can manage the horizon size in two operation modes. The DMDH2FF has better robustness against temporary model uncertainty compared with a conventional H2 infinite impulse response filter. The performance of the DMDH2FF is demonstrated by an F-404 turbofan engine simulation.",

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N2 - A new receding horizon (RH) finite impulse response (FIR) filter called the dual-mode deadbeat H2 FIR filter (DMDH2FF) is proposed for state estimation in discrete linear time-invariant (LTI) systems under external disturbances. The DMDH2FF is derived to minimize the H2 norm subject to the deadbeat condition in the disturbance-to-estimate channel, and it can manage the horizon size in two operation modes. The DMDH2FF has better robustness against temporary model uncertainty compared with a conventional H2 infinite impulse response filter. The performance of the DMDH2FF is demonstrated by an F-404 turbofan engine simulation.

AB - A new receding horizon (RH) finite impulse response (FIR) filter called the dual-mode deadbeat H2 FIR filter (DMDH2FF) is proposed for state estimation in discrete linear time-invariant (LTI) systems under external disturbances. The DMDH2FF is derived to minimize the H2 norm subject to the deadbeat condition in the disturbance-to-estimate channel, and it can manage the horizon size in two operation modes. The DMDH2FF has better robustness against temporary model uncertainty compared with a conventional H2 infinite impulse response filter. The performance of the DMDH2FF is demonstrated by an F-404 turbofan engine simulation.

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