{"id":"https://openalex.org/W2921649051","doi":"https://doi.org/10.23919/apsipa.2018.8659775","title":"Remarks on Control of Robot Manipulator Using Quaternion Neural Network","display_name":"Remarks on Control of Robot Manipulator Using Quaternion Neural Network","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921649051","doi":"https://doi.org/10.23919/apsipa.2018.8659775","mag":"2921649051"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659775","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100816261","display_name":"Kazuhiko Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuhiko Takahashi","raw_affiliation_strings":["Doshisha University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100816261"],"corresponding_institution_ids":["https://openalex.org/I133984924"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78050147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9779000282287598,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypercomplex-number","display_name":"Hypercomplex number","score":0.8683348894119263},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.8303885459899902},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7304528951644897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7176088690757751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5516706705093384},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5476729273796082},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5156925320625305},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.44526875019073486},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4318314790725708},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4152151346206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2842751741409302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27884554862976074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1947004497051239},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1359623372554779}],"concepts":[{"id":"https://openalex.org/C203249530","wikidata":"https://www.wikidata.org/wiki/Q837414","display_name":"Hypercomplex number","level":3,"score":0.8683348894119263},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.8303885459899902},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7304528951644897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7176088690757751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516706705093384},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5476729273796082},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5156925320625305},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.44526875019073486},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4318314790725708},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4152151346206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2842751741409302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27884554862976074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1947004497051239},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1359623372554779},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659775","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W386692692","https://openalex.org/W631586608","https://openalex.org/W1989757000","https://openalex.org/W2077598042","https://openalex.org/W2114388374","https://openalex.org/W2130071409","https://openalex.org/W2143908786","https://openalex.org/W2488580825","https://openalex.org/W2508041025","https://openalex.org/W2754841394","https://openalex.org/W3042460663","https://openalex.org/W3098588011","https://openalex.org/W3121126077","https://openalex.org/W6613271927","https://openalex.org/W6720596169","https://openalex.org/W6780670225","https://openalex.org/W6788743950"],"related_works":["https://openalex.org/W2916518000","https://openalex.org/W2916498667","https://openalex.org/W2917906954","https://openalex.org/W2572893131","https://openalex.org/W2917330019","https://openalex.org/W2917006597","https://openalex.org/W2916884673","https://openalex.org/W1897251165","https://openalex.org/W2423267406","https://openalex.org/W2020324309"],"abstract_inverted_index":{"High-dimensional":[0],"neural":[1,52,65,80,105,170],"networks,":[2],"in":[3,28,76,188],"which":[4,77],"all":[5],"the":[6,41,60,86,94,98,119,132,137,142,154,167,176,181,185],"network":[7,66,81,106,111,133,138],"parameters,":[8],"states,":[9],"signals":[10],"and":[11,33,45,124,175],"activation":[12,120],"functions":[13],"are":[14,173],"expressed":[15],"using":[16,141,166,184],"hypercomplex":[17,42],"numbers,":[18],"have":[19,54],"received":[20],"increasing":[21],"attention":[22],"as":[23,85,118],"solutions":[24],"to":[25,67,92,130],"real-world":[26],"problems":[27],"many":[29],"fields":[30],"of":[31,40,62,89,122,183],"science":[32],"engineering.":[34],"Quaternion":[35],"numbers":[36],"constitute":[37],"a":[38,63,78,90,108,114,125,146,161],"class":[39],"number":[43],"system,":[44],"several":[46],"successful":[47],"applications":[48],"based":[49],"on":[50],"quaternion":[51,64,79,104,116,169],"networks":[53],"been":[55],"demonstrated.":[56],"In":[57],"this":[58],"study,":[59],"application":[61],"control":[68,87,155,190],"systems":[69],"is":[70,83,101,128,151],"investigated.":[71],"An":[72],"adaptive-type":[73],"servo":[74],"controller,":[75],"output":[82,96],"used":[84,129],"input":[88],"plant":[91,95],"ensure":[93],"matches":[97],"desired":[99],"output,":[100],"presented.":[102],"The":[103],"has":[107],"multi-layer":[109],"feedforward":[110],"topology":[112],"with":[113],"split-type":[115],"function":[117,121],"neurons,":[123],"tapped-delay-line":[126],"method":[127],"compose":[131],"input.":[134],"To":[135],"train":[136],"parameters":[139],"by":[140,165],"gradient":[143],"error":[144,148],"minimisation,":[145],"feedback":[147],"learning":[149],"scheme":[150],"introduced":[152],"into":[153],"system.":[156],"Computational":[157],"experiments":[158],"for":[159],"controlling":[160],"two-link":[162],"robot":[163],"manipulator":[164],"proposed":[168,186],"network-based":[171],"controller":[172,187],"conducted,":[174],"simulation":[177],"results":[178],"obtained":[179],"demonstrate":[180],"feasibility":[182],"practical":[189],"applications.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}