Unbiased FIR Filtering for Time-Stamped Discretely Delayed and Missing Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Uribe-Murcia, Karen J. | - |
dc.contributor.author | Shmaliy, Yuriy S. | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Zhao, Shunyi | - |
dc.date.accessioned | 2021-08-31T01:45:47Z | - |
dc.date.available | 2021-08-31T01:45:47Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 0018-9286 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/56236 | - |
dc.description.abstract | The unbiased finite impulse response (UFIR) filtering approach is developed for discrete-time state-space models with time-stamped discretely delayed and missing data. The model with $k$-step-lags in observations is transformed to have no latency and expanded on a finite horizon of $N$ most recent data points. It is shown that the optimal horizon for the UFIR filter is practically $k$-invariant, unlike the tuning factor of the $H_\infty$ filter. Higher robustness of the UFIR filter against the Kalman and $H_\infty$ filters is justified theoretically in uncertain environments with discretely delayed and missing data. Experimental verification is provided based on GPS-based tracking of a moving vehicle to demonstrate a good agreement with the theory. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | H-INFINITY | - |
dc.subject | NEURAL-NETWORKS | - |
dc.subject | LINEAR-SYSTEMS | - |
dc.subject | IGNORING NOISE | - |
dc.subject | SENSOR DELAY | - |
dc.subject | KALMAN | - |
dc.subject | TRACKING | - |
dc.subject | STATE | - |
dc.title | Unbiased FIR Filtering for Time-Stamped Discretely Delayed and Missing Data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1109/TAC.2019.2937850 | - |
dc.identifier.scopusid | 2-s2.0-85084326302 | - |
dc.identifier.wosid | 000530344600024 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.65, no.5, pp.2155 - 2162 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | - |
dc.citation.title | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | - |
dc.citation.volume | 65 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 2155 | - |
dc.citation.endPage | 2162 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | H-INFINITY | - |
dc.subject.keywordPlus | NEURAL-NETWORKS | - |
dc.subject.keywordPlus | LINEAR-SYSTEMS | - |
dc.subject.keywordPlus | IGNORING NOISE | - |
dc.subject.keywordPlus | SENSOR DELAY | - |
dc.subject.keywordPlus | KALMAN | - |
dc.subject.keywordPlus | TRACKING | - |
dc.subject.keywordPlus | STATE | - |
dc.subject.keywordAuthor | Delayed data | - |
dc.subject.keywordAuthor | H-infinity filter | - |
dc.subject.keywordAuthor | Kalman filter (KF) | - |
dc.subject.keywordAuthor | robustness | - |
dc.subject.keywordAuthor | unbiased finite impulse response (FIR) filter | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.