{"id":"https://openalex.org/W2045009363","doi":"https://doi.org/10.1109/ramech.2011.6070496","title":"Mobile robot's electronic compass calibration based on modified Fourier Neural Network","display_name":"Mobile robot's electronic compass calibration based on modified Fourier Neural Network","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2045009363","doi":"https://doi.org/10.1109/ramech.2011.6070496","mag":"2045009363"},"language":"en","primary_location":{"id":"doi:10.1109/ramech.2011.6070496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2011.6070496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM)","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/A5102922261","display_name":"Kun Gong","orcid":"https://orcid.org/0009-0006-1097-4804"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gong Kun","raw_affiliation_strings":["Gong Kun is with School of Automation, Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gong Kun is with School of Automation, Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050766","display_name":"Fang Deng","orcid":"https://orcid.org/0000-0002-1111-7285"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Fang","raw_affiliation_strings":["Deng Fang is with School of Automation, Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Deng Fang is with School of Automation, Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101565515","display_name":"Tao Ma","orcid":"https://orcid.org/0000-0002-1719-7618"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Tao","raw_affiliation_strings":["Ma Tao is with School of Automation, Beijing Institute of Technology and Key Laboratory of Complex System Intelligent Control and Decision, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Ma Tao is with School of Automation, Beijing Institute of Technology and Key Laboratory of Complex System Intelligent Control and Decision, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102922261"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13669216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"280","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11749","display_name":"Iterative Learning Control Systems","score":0.991100013256073,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compass","display_name":"Compass","score":0.8525378704071045},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6846180558204651},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6829191446304321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641851663589478},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.6020606756210327},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5217214822769165},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48171287775039673},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.43169695138931274},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4296523332595825},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.41609859466552734},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4141225814819336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39507514238357544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31127434968948364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16318127512931824},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0738951563835144}],"concepts":[{"id":"https://openalex.org/C2778361833","wikidata":"https://www.wikidata.org/wiki/Q34735","display_name":"Compass","level":2,"score":0.8525378704071045},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6846180558204651},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6829191446304321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641851663589478},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.6020606756210327},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5217214822769165},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48171287775039673},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.43169695138931274},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4296523332595825},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.41609859466552734},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4141225814819336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39507514238357544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31127434968948364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16318127512931824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0738951563835144},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ramech.2011.6070496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2011.6070496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1526120377","https://openalex.org/W1820051232","https://openalex.org/W2028175972","https://openalex.org/W2101640510","https://openalex.org/W2140411979","https://openalex.org/W2155295397","https://openalex.org/W2375652134","https://openalex.org/W2393531626","https://openalex.org/W6631558195","https://openalex.org/W6681083216"],"related_works":["https://openalex.org/W2206872286","https://openalex.org/W2382913035","https://openalex.org/W2113447385","https://openalex.org/W2391335452","https://openalex.org/W2360876323","https://openalex.org/W2109954054","https://openalex.org/W2642723128","https://openalex.org/W1970764900","https://openalex.org/W2366280361","https://openalex.org/W2371760597"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,43,61,78,110,117,136],"improve":[3],"the":[4,7,45,63,69,80,97,118,130,141],"precision":[5],"of":[6,38,49,65,74,82,132,144],"azimuth":[8,75,133],"measured":[9],"by":[10,28,127],"mobile":[11],"robot's":[12],"electronic":[13,50,83],"compass,":[14],"this":[15,128],"paper":[16],"proposes":[17],"a":[18],"new":[19],"calibration":[20],"method":[21,35,86],"based":[22],"on":[23],"Fourier":[24,39],"Neural":[25,40],"Network":[26,41],"trained":[27],"Modified":[29,55],"Particle":[30,56],"Swarm":[31,57],"Optimization":[32,58],"(MPSO-FNN).":[33],"This":[34,85],"makes":[36],"use":[37],"(FNN)":[42],"establish":[44],"error":[46,72,134,146],"compensation":[47],"model":[48,73],"compass's":[51],"azimuth,":[52],"and":[53,108,115,140],"introduces":[54],"(MPSO)":[59],"algorithm":[60],"optimize":[62],"weights":[64],"neural":[66,98],"network.":[67],"Thus":[68],"comparatively":[70],"accurate":[71],"is":[76,147],"obtained":[77],"compensate":[79],"output":[81],"compass.":[84],"not":[87],"only":[88,148],"has":[89],"strong":[90],"nonlinear":[91],"approximation":[92],"capability,":[93],"but":[94],"also":[95],"overcomes":[96],"networks'":[99],"shortcomings":[100],"which":[101],"are":[102],"too":[103],"slow":[104],"convergence":[105],"speed,":[106],"oscillation,":[107],"easy":[109],"fall":[111],"into":[112],"local":[113],"optimum":[114],"sensitive":[116],"initial":[119],"values.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"that":[124],"after":[125],"calibrated":[126],"method,":[129],"range":[131],"reduces":[135],"-0.35\u00b0~0.70\u00b0":[137],"from":[138],"-3.4\u00b0~25.2\u00b0,":[139],"average":[142],"value":[143],"absolute":[145],"0.30\u00b0.":[149]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
