Optimizing model predictive control horizons using genetic algorithm for motion cueing algorithm Mohammadi, Arash, Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle and Nahavandi, Saeid 2018, Optimizing model predictive control horizons using genetic algorithm for motion cueing algorithm, Expert systems with applications, vol. 92, pp. 73-81, doi: 10.1016/j.eswa.2017.09.004. Attached Files Name Description MIMEType Size Downloads Title Optimizing model predictive control horizons using genetic algorithm for motion cueing algorithm Author(s) Mohammadi, Arash orcid.org/0000-0001-7634-8212 Asadi, Houshyar orcid.org/0000-0002-3620-8693 Mohamed, Shady orcid.org/0000-0002-8851-1635 Nelson, Kyle orcid.org/0000-0003-1956-5493 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Expert systems with applications Volume number 92 Start page 73 End page 81 Total pages 9 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2018-02 ISSN 0957-4174 Keyword(s) motion cueing algorithm model predictive control genetic algorithm optimization science & technology technology computer science, artificial intelligence engineering, electrical & electronic operations research & management science computer science engineering Language eng DOI 10.1016/j.eswa.2017.09.004 Field of Research 01 Mathematical Sciences 08 Information And Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2017, Elsevier Ltd. Persistent URL http://hdl.handle.net/10536/DRO/DU:30102938 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version 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 Mon, 02 Oct 2017, 23:24:09 EST Tue, 03 Oct 2017, 04:02:30 EST Sat, 18 Nov 2017, 01:40:14 EST Fri, 09 Feb 2018, 05:06:27 EST Wed, 07 Mar 2018, 14:30:55 EST Sat, 28 Apr 2018, 06:04:32 EST Wed, 02 May 2018, 13:27:44 EST Wed, 02 May 2018, 13:30:25 EST Wed, 02 May 2018, 13:31:07 EST Filtered Full Citation counts:   Cited 20 times in TR Web of Science Cited 24 times in Scopus Search Google Scholar Access Statistics: 438 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 02 Oct 2017, 23:24:09 EST

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