eprintid: 9501
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/95/01
datestamp: 2023-11-09 16:36:08
lastmod: 2023-11-09 16:36:08
status_changed: 2023-11-09 16:29:09
type: conference_item
metadata_visibility: show
creators_name: Bingi, K.
creators_name: Ibrahim, R.
creators_name: Karsiti, M.N.
creators_name: Hassan, S.M.
creators_name: Harindran, V.R.
title: Design and Analysis of Fractional-order Filters Using Scilab
ispublished: pub
keywords: Manufacture; MATLAB; Open systems; Robotics, Conventional filters; Design and analysis; Domain analysis; Fractional-order filters; Numerical computations; Oustaloup's Approximation; Scilab; Simulation studies, Open source software
note: cited By 1; Conference of 4th IEEE International Symposium in Robotics and Manufacturing Automation, ROMA 2018 ; Conference Date: 10 December 2018 Through 12 December 2018; Conference Code:157694
abstract: Over the years fractional ordering of conventional filters have been proposed by researchers for various industrial applications. In all the developments, the implementation and evaluation of these filters are done using MATLAB software. However, MATLAB is very expensive even for a limited number of licenses. Hence, a major alternative and open-source software i.e., Scilab can be used for these numerical computations. Therefore, in this paper, the fractional-order filters (low, high, band and all-pass) are developed and analyzed using Scilab in terms of Bode, impulse and step responses. The simulation study shows that the fractional-order filters can be effectively implemented and analyzed using Scilab. © 2018 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080057926&doi=10.1109%2fROMA46407.2018.8986711&partnerID=40&md5=959bf4b3be06ff514bb78d4d25994f48
id_number: 10.1109/ROMA46407.2018.8986711
full_text_status: none
publication: 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation, ROMA 2018
refereed: TRUE
isbn: 9781728103747
citation:   Bingi, K. and Ibrahim, R. and Karsiti, M.N. and Hassan, S.M. and Harindran, V.R.  (2018) Design and Analysis of Fractional-order Filters Using Scilab.  In: UNSPECIFIED.