An optimal washout filter for motion platform using neural network and fuzzy logic Qazani, MRC, Asadi, Houshyar, Mohamed, Shady, Lim, Chee Peng and Nahavandi, Saeid 2022, An optimal washout filter for motion platform using neural network and fuzzy logic, Engineering Applications of Artificial Intelligence, vol. 108, pp. 1-10, doi: 10.1016/j.engappai.2021.104564. Attached Files Name Description MIMEType Size Downloads Title An optimal washout filter for motion platform using neural network and fuzzy logic Author(s) Qazani, MRC Asadi, Houshyar orcid.org/0000-0002-3620-8693 Mohamed, Shady orcid.org/0000-0002-8851-1635 Lim, Chee Peng orcid.org/0000-0003-4191-9083 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Engineering Applications of Artificial Intelligence Volume number 108 Article ID ARTN 104564 Start page 1 End page 10 Total pages 10 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2022-02 ISSN 0952-1976 1873-6769 Keyword(s) Automation & Control Systems Computer Science Computer Science, Artificial Intelligence DESIGN Engineering Engineering, Electrical & Electronic Engineering, Multidisciplinary Fuzzy logic controller MODEL Motion cueing algorithm Neural network Optimal washout filter Riccati equation Science & Technology SICKNESS SIMULATIONS Technology Time-varying weights Language eng DOI 10.1016/j.engappai.2021.104564 Field of Research 08 Information and Computing Sciences 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30160270 Document type: Journal Article Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 31 Dec 2021, 13:28:11 EST Fri, 31 Dec 2021, 14:48:31 EST Sat, 12 Mar 2022, 01:30:17 EST Sun, 03 Jul 2022, 06:02:47 EST Thu, 21 Jul 2022, 08:54:53 EST Thu, 21 Jul 2022, 10:44:42 EST Thu, 21 Jul 2022, 13:52:05 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 6 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 31 Dec 2021, 13:28:11 EST