{"id":"https://openalex.org/W3164601514","doi":"https://doi.org/10.1109/taes.2021.3082662","title":"Prediction of Motion Simulator Signals Using Time-Series Neural Networks","display_name":"Prediction of Motion Simulator Signals Using Time-Series Neural Networks","publication_year":2021,"publication_date":"2021-05-21","ids":{"openalex":"https://openalex.org/W3164601514","doi":"https://doi.org/10.1109/taes.2021.3082662","mag":"3164601514"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2021.3082662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3082662","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Prediction_of_Motion_Simulator_Signals_Using_Time-Series_Neural_Networks/20660853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077083782","display_name":"Mohammad Reza Chalak Qazani","orcid":"https://orcid.org/0000-0003-1839-029X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Chalak Qazani","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1839-029X","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072981510","display_name":"Houshyar Asadi","orcid":"https://orcid.org/0000-0002-3620-8693"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Houshyar Asadi","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3620-8693","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072923302","display_name":"Chee Peng Lim","orcid":"https://orcid.org/0000-0003-4191-9083"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chee Peng Lim","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4191-9083","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011193438","display_name":"Shady Mohamed","orcid":"https://orcid.org/0000-0002-8851-1635"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shady Mohamed","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015293969","display_name":"Saeid Nahavandi","orcid":"https://orcid.org/0000-0002-0360-5270"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0360-5270","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":38.4335,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99574381,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"57","issue":"5","first_page":"3383","last_page":"3392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12125","display_name":"Aerospace and Aviation Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12125","display_name":"Aerospace and Aviation Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12081","display_name":"Aerodynamics and Fluid Dynamics Research","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.776244044303894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524856090545654},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5971658825874329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5955485701560974},{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.5483447313308716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49921131134033203},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4983639717102051},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.45853671431541443},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45576581358909607},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.43567854166030884},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43549472093582153},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4317285418510437},{"id":"https://openalex.org/keywords/motion-simulator","display_name":"Motion simulator","score":0.43102091550827026},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36028021574020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2601777911186218},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.24529385566711426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19396716356277466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14718285202980042},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08121973276138306}],"concepts":[{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.776244044303894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524856090545654},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5971658825874329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5955485701560974},{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.5483447313308716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49921131134033203},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4983639717102051},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.45853671431541443},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45576581358909607},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.43567854166030884},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43549472093582153},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4317285418510437},{"id":"https://openalex.org/C2779891887","wikidata":"https://www.wikidata.org/wiki/Q19680204","display_name":"Motion simulator","level":3,"score":0.43102091550827026},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36028021574020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2601777911186218},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.24529385566711426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19396716356277466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14718285202980042},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08121973276138306},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2021.3082662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3082662","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/20660853","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Prediction_of_Motion_Simulator_Signals_Using_Time-Series_Neural_Networks/20660853","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20660853","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Prediction_of_Motion_Simulator_Signals_Using_Time-Series_Neural_Networks/20660853","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W26554544","https://openalex.org/W85928194","https://openalex.org/W166179452","https://openalex.org/W265998786","https://openalex.org/W1498436455","https://openalex.org/W1524481546","https://openalex.org/W1680889242","https://openalex.org/W1701825639","https://openalex.org/W1904365287","https://openalex.org/W1941031609","https://openalex.org/W1977164425","https://openalex.org/W1987410813","https://openalex.org/W1987645306","https://openalex.org/W1999205703","https://openalex.org/W2009493031","https://openalex.org/W2013744516","https://openalex.org/W2020799808","https://openalex.org/W2026091578","https://openalex.org/W2029768051","https://openalex.org/W2039868396","https://openalex.org/W2044148408","https://openalex.org/W2046467042","https://openalex.org/W2062086960","https://openalex.org/W2076514882","https://openalex.org/W2089961292","https://openalex.org/W2098740969","https://openalex.org/W2103125163","https://openalex.org/W2106845860","https://openalex.org/W2112497588","https://openalex.org/W2117671523","https://openalex.org/W2143612262","https://openalex.org/W2153683413","https://openalex.org/W2160726107","https://openalex.org/W2187285467","https://openalex.org/W2236623899","https://openalex.org/W2244944087","https://openalex.org/W2319954399","https://openalex.org/W2320184965","https://openalex.org/W2336450639","https://openalex.org/W2511753245","https://openalex.org/W2564182054","https://openalex.org/W2574761396","https://openalex.org/W2586081640","https://openalex.org/W2595919128","https://openalex.org/W2612728353","https://openalex.org/W2624957776","https://openalex.org/W2755692884","https://openalex.org/W2782137147","https://openalex.org/W2803759966","https://openalex.org/W2804274544","https://openalex.org/W2807414627","https://openalex.org/W2807809851","https://openalex.org/W2912755542","https://openalex.org/W2919115771","https://openalex.org/W2921039714","https://openalex.org/W2923974459","https://openalex.org/W2942971948","https://openalex.org/W2954312725","https://openalex.org/W2955237545","https://openalex.org/W2955547492","https://openalex.org/W2971724044","https://openalex.org/W2972188071","https://openalex.org/W2977854154","https://openalex.org/W2979805675","https://openalex.org/W2984169786","https://openalex.org/W2990748564","https://openalex.org/W2998074573","https://openalex.org/W3005535655","https://openalex.org/W3012407295","https://openalex.org/W3031815118","https://openalex.org/W3040227966","https://openalex.org/W3082925698","https://openalex.org/W3083140932","https://openalex.org/W3086856066","https://openalex.org/W3091993415","https://openalex.org/W3094852599","https://openalex.org/W3114418295","https://openalex.org/W4211044227","https://openalex.org/W6606577305","https://openalex.org/W6637653338","https://openalex.org/W6640036494","https://openalex.org/W6686874720","https://openalex.org/W6691299766","https://openalex.org/W6730983946","https://openalex.org/W6737518225","https://openalex.org/W6739869999","https://openalex.org/W6762167934","https://openalex.org/W6764469565","https://openalex.org/W6782434837"],"related_works":["https://openalex.org/W4386132124","https://openalex.org/W2258992572","https://openalex.org/W2359410228","https://openalex.org/W883676525","https://openalex.org/W2086999410","https://openalex.org/W3177279640","https://openalex.org/W2138542136","https://openalex.org/W39454065","https://openalex.org/W2129754611","https://openalex.org/W4313495616"],"abstract_inverted_index":{"A":[0],"motion":[1,13,18,29,39,72,126,143,175,215],"cueing":[2],"algorithm":[3],"(MCA)":[4],"is":[5,41,74,160],"employed":[6,207],"to":[7,43,69,85,123,162,199],"transform":[8],"the":[9,22,28,34,38,45,48,71,76,86,125,129,133,137,142,151,164,174,190,200,202],"linear":[10],"and":[11,24,102,117,214],"angular":[12],"signals":[14,87,135],"generated":[15],"from":[16],"a":[17,59,64,95,99,103,181],"simulator":[19],"without":[20,88],"violating":[21],"physical":[23],"dynamical":[25],"boundaries":[26],"of":[27,37,47,153,173,189],"platform.":[30],"In":[31,92,197],"this":[32,93],"respect,":[33],"accurate":[35,171],"prediction":[36],"scenarios":[40,73,144],"essential":[42],"enhance":[44],"efficiency":[46],"MCA":[49],"using":[50],"prepositioning":[51],"or":[52],"time-varying":[53],"reference":[54],"model":[55,79,131],"predictive":[56],"control.":[57],"While":[58],"recent":[60],"approach":[61],"that":[62,188],"utilizes":[63],"feedforward":[65,77,97],"neural":[66],"network":[67],"(NN)":[68],"forecast":[70],"useful,":[75],"NN":[78],"has":[80,180],"only":[81],"forward":[82],"dynamics":[83],"relating":[84],"any":[89],"feedback":[90],"loop.":[91],"article,":[94],"time-delay":[96],"NN,":[98,101,192],"recurrent":[100,191],"nonlinear":[104],"autoregressive":[105],"(NAR)":[106],"models":[107],"with":[108,145,158,187],"three":[109],"different":[110],"training":[111,232],"procedures,":[112],"i.e.,":[113],"Levenberg\u2013Marquardt,":[114],"Bayesian":[115],"regularization,":[116],"scaled":[118],"conjugate":[119],"gradient,":[120],"are":[121],"exploited":[122],"predict":[124,141],"scenarios.":[127],"As":[128],"NAR":[130,156,178,203],"employs":[132],"historical":[134],"as":[136,185],"inputs,":[138],"it":[139],"can":[140,205,219],"higher":[146],"accuracy":[147],"rates.":[148],"Based":[149],"on":[150],"series":[152],"empirical":[154],"evaluations,":[155],"trained":[157],"Levenberg\u2013Marquardt":[159],"able":[161],"outperform":[163],"other":[165,209],"two":[166],"counterparts":[167],"in":[168,208,234],"producing":[169],"more":[170],"predictions":[172],"signals.":[176],"The":[177],"method":[179,204],"lower":[182],"computational":[183],"load":[184],"compared":[186],"facilitating":[193],"its":[194],"real-time":[195],"application.":[196],"addition":[198],"MCA,":[201],"be":[206,221],"areas,":[210],"including":[211],"autonomous":[212],"vehicles":[213],"sickness":[216],"studies.":[217],"It":[218],"also":[220],"easily":[222],"implemented":[223],"for":[224,231],"air,":[225],"sea,":[226],"and/or":[227],"land":[228],"vehicle":[229],"simulators":[230],"purposes":[233],"virtual":[235],"reality":[236],"environments.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}