H∞ filter with fuzzy logic estimation to refrain finite escape time

In this paper, a H∞ Filter with Fuzzy Logic (FHF) based on mobile robot localization and mapping is proposed to effectively prevent the Finite Es-cape Time (FET) issue in H∞ Filter (HF). The capabilities of HF to offer better solution than Kalman Filter (KF) is limited by the shortcomings of Finite...

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Main Authors: Bakiss Hiyana, Abu Bakar, Hamzah, Ahmad
Format: Book Section
Language:English
Published: Springer 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31468/2/Paper_73_correction.pdf
http://umpir.ump.edu.my/id/eprint/31468/
https://doi.org/10.1007/978-981-33-4597-3_28
https://doi.org/10.1007/978-981-33-4597-3_28
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spelling my.ump.umpir.314682021-08-11T07:46:49Z http://umpir.ump.edu.my/id/eprint/31468/ H∞ filter with fuzzy logic estimation to refrain finite escape time Bakiss Hiyana, Abu Bakar Hamzah, Ahmad T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In this paper, a H∞ Filter with Fuzzy Logic (FHF) based on mobile robot localization and mapping is proposed to effectively prevent the Finite Es-cape Time (FET) issue in H∞ Filter (HF). The capabilities of HF to offer better solution than Kalman Filter (KF) is limited by the shortcomings of Finite Escape Time. FET define as a state that can go infinite in normal condition that lead to in accurate estimation result, with the present of FET, the estimation cannot be totally guarantee. Therefore, it is essential to guarantee no FET is observed in the state covariance on its update. A new FHF is developed for this matter by using fuzzy logic approach. The analysis is done by implementing the Fuzzy Logic technique with triangular membership. The simulation result show that Fuzzy Logic effectively avoid the FET from appear and simultaneously improve the estimation between mobile robot and the landmark. Springer 2021-08-20 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31468/2/Paper_73_correction.pdf Bakiss Hiyana, Abu Bakar and Hamzah, Ahmad (2021) H∞ filter with fuzzy logic estimation to refrain finite escape time. In: Recent Trends in Mechatronics Towards Industry 4.0. Springer, Singapore, pp. 978-981. ISBN 978-981-33-4597-3 https://doi.org/10.1007/978-981-33-4597-3_28 https://doi.org/10.1007/978-981-33-4597-3_28
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Bakiss Hiyana, Abu Bakar
Hamzah, Ahmad
H∞ filter with fuzzy logic estimation to refrain finite escape time
description In this paper, a H∞ Filter with Fuzzy Logic (FHF) based on mobile robot localization and mapping is proposed to effectively prevent the Finite Es-cape Time (FET) issue in H∞ Filter (HF). The capabilities of HF to offer better solution than Kalman Filter (KF) is limited by the shortcomings of Finite Escape Time. FET define as a state that can go infinite in normal condition that lead to in accurate estimation result, with the present of FET, the estimation cannot be totally guarantee. Therefore, it is essential to guarantee no FET is observed in the state covariance on its update. A new FHF is developed for this matter by using fuzzy logic approach. The analysis is done by implementing the Fuzzy Logic technique with triangular membership. The simulation result show that Fuzzy Logic effectively avoid the FET from appear and simultaneously improve the estimation between mobile robot and the landmark.
format Book Section
author Bakiss Hiyana, Abu Bakar
Hamzah, Ahmad
author_facet Bakiss Hiyana, Abu Bakar
Hamzah, Ahmad
author_sort Bakiss Hiyana, Abu Bakar
title H∞ filter with fuzzy logic estimation to refrain finite escape time
title_short H∞ filter with fuzzy logic estimation to refrain finite escape time
title_full H∞ filter with fuzzy logic estimation to refrain finite escape time
title_fullStr H∞ filter with fuzzy logic estimation to refrain finite escape time
title_full_unstemmed H∞ filter with fuzzy logic estimation to refrain finite escape time
title_sort h∞ filter with fuzzy logic estimation to refrain finite escape time
publisher Springer
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31468/2/Paper_73_correction.pdf
http://umpir.ump.edu.my/id/eprint/31468/
https://doi.org/10.1007/978-981-33-4597-3_28
https://doi.org/10.1007/978-981-33-4597-3_28
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score 13.18916