{"id":"https://openalex.org/W1932835272","doi":"https://doi.org/10.1109/etfa.2015.7301512","title":"Remarks on self-tuning feedback controller using the Clifford multi-layer neural network","display_name":"Remarks on self-tuning feedback controller using the Clifford multi-layer neural network","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1932835272","doi":"https://doi.org/10.1109/etfa.2015.7301512","mag":"1932835272"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2015.7301512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2015.7301512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 20th Conference on Emerging Technologies &amp; Factory Automation (ETFA)","raw_type":"proceedings-article"},"type":"conference-paper","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":["Faculty of Science and Engineering, Doshisha University Kyoto, Japan","Faculty of Science and Engineering, Doshisha University,Kyoto,Japan,610-0321"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Doshisha University Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]},{"raw_affiliation_string":"Faculty of Science and Engineering, Doshisha University,Kyoto,Japan,610-0321","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":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12314508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12772","display_name":"Control and Stability of Dynamical Systems","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12772","display_name":"Control and Stability of Dynamical Systems","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.961899995803833,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9528999924659729,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7416263222694397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5921779274940491},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5849666595458984},{"id":"https://openalex.org/keywords/clifford-algebra","display_name":"Clifford algebra","score":0.5445346236228943},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5415970683097839},{"id":"https://openalex.org/keywords/physical-neural-network","display_name":"Physical neural network","score":0.42197906970977783},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3733776807785034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35940784215927124},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3487434983253479},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.33061322569847107},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.29133927822113037},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.2335023283958435},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18782010674476624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1733693778514862},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.14357221126556396},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.0671718418598175}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7416263222694397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921779274940491},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5849666595458984},{"id":"https://openalex.org/C100856211","wikidata":"https://www.wikidata.org/wiki/Q674689","display_name":"Clifford algebra","level":3,"score":0.5445346236228943},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5415970683097839},{"id":"https://openalex.org/C33766855","wikidata":"https://www.wikidata.org/wiki/Q7189618","display_name":"Physical neural network","level":5,"score":0.42197906970977783},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3733776807785034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35940784215927124},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3487434983253479},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33061322569847107},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.29133927822113037},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2335023283958435},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18782010674476624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1733693778514862},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.14357221126556396},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0671718418598175},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2015.7301512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2015.7301512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 20th Conference on Emerging Technologies &amp; Factory Automation (ETFA)","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":18,"referenced_works":["https://openalex.org/W116205424","https://openalex.org/W386692692","https://openalex.org/W1490386010","https://openalex.org/W1503260137","https://openalex.org/W1567272927","https://openalex.org/W2033717092","https://openalex.org/W2045399809","https://openalex.org/W2058399474","https://openalex.org/W2109302642","https://openalex.org/W2128351324","https://openalex.org/W2130071409","https://openalex.org/W2141150222","https://openalex.org/W2155883064","https://openalex.org/W2492400030","https://openalex.org/W4206645272","https://openalex.org/W4248531677","https://openalex.org/W6613271927","https://openalex.org/W6629123379"],"related_works":["https://openalex.org/W2507760893","https://openalex.org/W2515465208","https://openalex.org/W2504261970","https://openalex.org/W2955456336","https://openalex.org/W2162189395","https://openalex.org/W99189408","https://openalex.org/W21525990","https://openalex.org/W1981614060","https://openalex.org/W2756804014","https://openalex.org/W2000675896"],"abstract_inverted_index":{"In":[0,86],"this":[1],"study,":[2],"Clifford":[3,40,60,89,96,118,137],"multi-layer":[4,41,61,90,138],"neural":[5,42,62,91,128,139],"networks":[6,92,140],"using":[7,66],"a":[8,15,47,67,70,74],"back-propagation":[9],"algorithm":[10],"are":[11,36,84,111],"applied":[12],"to":[13,19],"control":[14,25,109,142],"nonlinear":[16],"dynamic":[17],"system":[18,72],"investigate":[20],"its":[21],"capability":[22],"in":[23,31,53,102,141],"practical":[24],"applications.":[26],"A":[27],"self-tuning":[28,81,104],"feedback":[29,33,82,105],"controller":[30,83],"which":[32],"gain":[34],"parameters":[35],"adjusted":[37],"by":[38,79,94],"the":[39,54,59,80,88,95,103,117,125,133,136],"network":[43],"is":[44,51,77,121],"designed":[45],"and":[46,69,107],"trail-based":[48],"learning":[49,57],"architecture":[50],"introduced":[52],"online":[55],"drawback":[56],"of":[58,127,135],"network.":[63],"Computational":[64],"experiments":[65],"cart":[68],"pendulum":[71],"as":[73],"plant":[75],"that":[76,116],"controlled":[78],"conducted.":[85],"particular,":[87],"followed":[93],"algebras":[97],"C0,0,":[98],"C0,1and":[99],"C0,2are":[100],"utilised":[101],"controllers,":[106],"these":[108],"performances":[110],"compared.":[112],"Experimental":[113],"results":[114],"show":[115],"algebra":[119],"framework":[120],"feasible":[122],"for":[123],"improving":[124],"efficiency":[126],"computing.":[129],"Results":[130],"also":[131],"confirm":[132],"potential":[134],"systems.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
