H∞Filter with fuzzy logic estimation : An analysis to refrain Finite Escape Time (FET)

Bakiss Hiyana, Abu Bakar and Hamzah, Ahmad (2022) H∞Filter with fuzzy logic estimation : An analysis to refrain Finite Escape Time (FET). In: Lecture Notes in Electrical Engineering; 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020 , 24-25 November 2020 , Virtual, Online. pp. 909-921., 770 (266059). ISSN 1876-1100 ISBN 978-981162405-6

[img] Pdf
H∞ Filter with Fuzzy Logic Estimation_An Analysis to Refrain Finite.pdf
Restricted to Repository staff only

Download (493kB) | Request a copy
H∞Filter with fuzzy logic estimation_An analysis to refrain Finite Escape Time (FET)_ABS.pdf

Download (52kB) | Preview


Aiming to refrain the present of Finite Escape Time (FET) issue in H∞ Filter (HF) during mobile robot observations, a new approach based on H∞ Filter with fuzzy logic (FHF) based on mobile robot localization and mapping are proposed in this paper. Over pass decade, the famous Extended Kalman Filter (EKF) are aggressively use in mobile robot observation, however its capabilities are limited to Gaussian noise only. Despite to this limitation, the H∞ Filter is choose and offer better solution. However, the shortcoming of Finite Escape Time may limit the H∞ Filter estimation capabilities. Finite Escape Time issue may lead to inaccurate estimation result. Hence, in order to guarantee no Finite Escape Time, a new H∞ Filter with Fuzzy Logic is developed by using fuzzy logic approach. The design focusses on adding a fuzzy logic rules and fuzzy set in the H∞ Filter innovation stage. The fuzzy logic membership will focus on trapezoid membership. The analysis on H∞ Filter is done in two stage, which are without and with implementation of fuzzy logic. The simulation result convinces that fuzzy logic effectively capable in reducing the Finite Escape Time and simultaneously improve the estimation between mobile robot and landmarks.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Finite escape time (FET); Fuzzy logic; H∞ filter; Mobile robot
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
College of Engineering
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 20 Dec 2023 07:49
Last Modified: 20 Dec 2023 07:49
URI: http://umpir.ump.edu.my/id/eprint/39697
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item