Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions

This paper deals with the analysis of different Fuzzy membership type performance for Extended Kalman Filter(EKF) based mobile robot navigation. EKF is known to be incompetent in non-Gaussian noise condition and therefore the technique alone is not sufficient to provide solution. Motivated by this s...

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Main Authors: Hamzah, Ahmad, Nur Aqilah, Othman
Format: Conference or Workshop Item
Language:English
English
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14219/
http://umpir.ump.edu.my/id/eprint/14219/1/MCAIT2016.pdf
http://umpir.ump.edu.my/id/eprint/14219/7/fkee-2016-hamzah-Fuzzy%20Logic%20Based%20EKF%20for%20Mobile%20Robot%20Navigation1.pdf
id ump-14219
recordtype eprints
spelling ump-142192017-10-23T07:51:34Z http://umpir.ump.edu.my/id/eprint/14219/ Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions Hamzah, Ahmad Nur Aqilah, Othman TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics This paper deals with the analysis of different Fuzzy membership type performance for Extended Kalman Filter(EKF) based mobile robot navigation. EKF is known to be incompetent in non-Gaussian noise condition and therefore the technique alone is not sufficient to provide solution. Motivated by this shortcoming, a Fuzzy based EKF is proposed in this paper. Three membership types are considered which includes the triangular, trapezoidal and Gaussian membership types to determine the best estimation results for mobile robot and landmarks locations. Minimal rule design and configuration are also other aspects being considered for analysis purposes. The simulation results suggest that the Gaussian memberships surpassed other membership type in providing the best solution in mobile robot navigation. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14219/1/MCAIT2016.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14219/7/fkee-2016-hamzah-Fuzzy%20Logic%20Based%20EKF%20for%20Mobile%20Robot%20Navigation1.pdf Hamzah, Ahmad and Nur Aqilah, Othman (2016) Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions. In: 3rd International Multi-Conference on Artificial Intelligence Technology (M-CAIT 2016) , 23-24 August 2016 , Melaka, Malaysia. pp. 1-8..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
Hamzah, Ahmad
Nur Aqilah, Othman
Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
description This paper deals with the analysis of different Fuzzy membership type performance for Extended Kalman Filter(EKF) based mobile robot navigation. EKF is known to be incompetent in non-Gaussian noise condition and therefore the technique alone is not sufficient to provide solution. Motivated by this shortcoming, a Fuzzy based EKF is proposed in this paper. Three membership types are considered which includes the triangular, trapezoidal and Gaussian membership types to determine the best estimation results for mobile robot and landmarks locations. Minimal rule design and configuration are also other aspects being considered for analysis purposes. The simulation results suggest that the Gaussian memberships surpassed other membership type in providing the best solution in mobile robot navigation.
format Conference or Workshop Item
author Hamzah, Ahmad
Nur Aqilah, Othman
author_facet Hamzah, Ahmad
Nur Aqilah, Othman
author_sort Hamzah, Ahmad
title Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
title_short Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
title_full Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
title_fullStr Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
title_full_unstemmed Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions
title_sort fuzzy logic based ekf for mobile robot navigation: an analysis of different fuzzy membership functions
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14219/
http://umpir.ump.edu.my/id/eprint/14219/1/MCAIT2016.pdf
http://umpir.ump.edu.my/id/eprint/14219/7/fkee-2016-hamzah-Fuzzy%20Logic%20Based%20EKF%20for%20Mobile%20Robot%20Navigation1.pdf
first_indexed 2023-09-18T22:17:43Z
last_indexed 2023-09-18T22:17:43Z
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