UMP Institutional Repository

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

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

[img] Pdf
Paper_73_correction.pdf - Accepted Version
Restricted to Repository staff only

Download (492kB) | Request a copy

Abstract

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.

Item Type: Book Section
Additional Information: Part of the Lecture Notes in Electrical Engineering book series
Uncontrolled Keywords: mobile robot, H∞ filter, fuzzy logic, finite escape time.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Ms. Ratna Wilis Haryati Mustapa
Date Deposited: 09 Jul 2021 03:22
Last Modified: 11 Aug 2021 07:46
URI: http://umpir.ump.edu.my/id/eprint/31468
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item