Investigating state covariance properties during finite escape time in H∞ filter SLAM

Hamzah, Ahmad and Nur Aqilah, Othman and Mohd Mawardi, Saari and Mohd Syakirin, Ramli (2018) Investigating state covariance properties during finite escape time in H∞ filter SLAM. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 271-283. ISBN 978-981-13-3708-6

[img]
Preview
Pdf
70.1 Investigating state covariance properties during finite escape.pdf

Download (191kB) | Preview
[img] Pdf
42. Investigating state covariance properties during finite escape time in Hoo filter SLAM.pdf
Restricted to Repository staff only

Download (815kB) | Request a copy
[img]
Preview
Pdf
42.1 Investigating state covariance properties during finite escape time in Hoo filter SLAM.pdf

Download (327kB) | Preview

Abstract

This paper deals with the investigation of finite escape time problem in H∞ Filter based localization and mapping. Finite escape time in H∞ Filter has restricted the technique to be applied as the mobile robot cannot determine its location effectively due to inconsistent information. Therefore, an analysis to improved the current H∞ Filter Three main factors are being considered in this research namely the initial state covariance, the γ values and the type of noises. This paper also proposed a modified H∞ Filter to reduce the finite escape time problem in the estimation. The analysis and simulation results determine that the modified H∞ Filter has better performance compared to the normal H∞ Filter as well as to Kalman Filter for different γ, initial state covariance and works well in non-gaussian noise environment.

Item Type: Book Chapter
Additional Information: Indexed by Springer
Uncontrolled Keywords: H∞ Filter; Finite Escape Time; Estimation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 24 Dec 2018 07:26
Last Modified: 21 May 2019 07:46
URI: http://umpir.ump.edu.my/id/eprint/22934
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item