{"id":"https://openalex.org/W3159168960","doi":"https://doi.org/10.1108/ir-10-2020-0231","title":"Adaptive neural network-based path tracking control for autonomous combine harvester with input saturation","display_name":"Adaptive neural network-based path tracking control for autonomous combine harvester with input saturation","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3159168960","doi":"https://doi.org/10.1108/ir-10-2020-0231","mag":"3159168960"},"language":"en","primary_location":{"id":"doi:10.1108/ir-10-2020-0231","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-10-2020-0231","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-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/A5100762151","display_name":"Yuexin Zhang","orcid":"https://orcid.org/0000-0002-7512-8194"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuexin Zhang","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059698669","display_name":"Lihui Wang","orcid":"https://orcid.org/0000-0003-1020-1132"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Wang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064858265","display_name":"Yaodong Liu","orcid":"https://orcid.org/0000-0003-4386-838X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaodong Liu","raw_affiliation_strings":["Jiangsu Productivity Promotion Center, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Productivity Promotion Center, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100762151"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5634,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61668699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"48","issue":"4","first_page":"510","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12201","display_name":"Agricultural Engineering and Mechanization","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12201","display_name":"Agricultural Engineering and Mechanization","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11978","display_name":"Soil Mechanics and Vehicle Dynamics","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/control-theory","display_name":"Control theory (sociology)","score":0.8221114873886108},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5892007946968079},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5584368109703064},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.5300191640853882},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.520174503326416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4809838533401489},{"id":"https://openalex.org/keywords/backstepping","display_name":"Backstepping","score":0.4412873685359955},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.430388867855072},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.42311346530914307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3550906181335449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16642692685127258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15898850560188293},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11190557479858398}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8221114873886108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5892007946968079},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5584368109703064},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.5300191640853882},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.520174503326416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4809838533401489},{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.4412873685359955},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.430388867855072},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.42311346530914307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3550906181335449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16642692685127258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15898850560188293},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11190557479858398},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-10-2020-0231","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-10-2020-0231","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W842283796","https://openalex.org/W1562660011","https://openalex.org/W1978331315","https://openalex.org/W1982582014","https://openalex.org/W1986024064","https://openalex.org/W1997021055","https://openalex.org/W2017042765","https://openalex.org/W2047063985","https://openalex.org/W2055478070","https://openalex.org/W2061446978","https://openalex.org/W2087725966","https://openalex.org/W2122836694","https://openalex.org/W2219980153","https://openalex.org/W2319909626","https://openalex.org/W2363637015","https://openalex.org/W2551541452","https://openalex.org/W2551773494","https://openalex.org/W2558551879","https://openalex.org/W2568019971","https://openalex.org/W2568770738","https://openalex.org/W2600133379","https://openalex.org/W2605638885","https://openalex.org/W2611160474","https://openalex.org/W2744326254","https://openalex.org/W2744990703","https://openalex.org/W2766361052","https://openalex.org/W2772481104","https://openalex.org/W2786734102","https://openalex.org/W2790105089","https://openalex.org/W2800773442","https://openalex.org/W2808390209","https://openalex.org/W2893387050","https://openalex.org/W2895734144","https://openalex.org/W2921798985","https://openalex.org/W2926065969","https://openalex.org/W2958230018","https://openalex.org/W2963248885","https://openalex.org/W2997006810","https://openalex.org/W3000945350","https://openalex.org/W3010768077","https://openalex.org/W3025779165","https://openalex.org/W3035009346","https://openalex.org/W3036444161","https://openalex.org/W3037892792","https://openalex.org/W3084222836","https://openalex.org/W3086993768","https://openalex.org/W3097256152"],"related_works":["https://openalex.org/W1847613412","https://openalex.org/W4387960131","https://openalex.org/W2376449068","https://openalex.org/W2972367213","https://openalex.org/W4382203996","https://openalex.org/W4365392829","https://openalex.org/W2100998971","https://openalex.org/W2002811656","https://openalex.org/W2990087644","https://openalex.org/W2104457306"],"abstract_inverted_index":{"Purpose":[0],"To":[1,146],"reduce":[2],"the":[3,42,47,63,93,97,103,111,120,129,141,148,155,181,185,198,226,237],"effect":[4],"of":[5,44,128,154,184,243],"parameter":[6,214],"uncertainties":[7,215],"and":[8,32,40,56,74,114,151,167,175,216],"input":[9,133,217],"saturation":[10],"on":[11,102],"path":[12,20,98,206,230],"tracking":[13,21,99,149,182,207,231],"control":[14,142,208],"for":[15,236],"autonomous":[16],"combine":[17,238],"harvester,":[18],"a":[19,33,53,57,66,135,229],"controller":[22,100,187,232],"is":[23,50,69,84,107,117,138,209,225,233],"proposed,":[24,210],"which":[25,90,211],"integrates":[26],"an":[27,79],"adaptive":[28,80,203],"neural":[29,81,204],"network":[30,82],"estimator":[31,83],"saturation-aided":[34,136],"system.":[35],"Design/methodology/approach":[36],"First,":[37],"to":[38,61,86,124,132,197],"analyze":[39],"compensate":[41],"influence":[43],"external":[45],"factors,":[46],"vehicle":[48],"model":[49,55,64,106],"established":[51],"combining":[52],"dynamic":[54,94,105],"kinematic":[58],"model.":[59,95],"Meanwhile,":[60],"make":[62],"simple,":[65],"comprehensive":[67],"error":[68,73,76],"used,":[70],"weighting":[71],"heading":[72],"position":[75],"simultaneously.":[77],"Second,":[78],"presented":[85,139],"calculate":[87],"uncertain":[88],"parameters":[89],"eventually":[91],"improve":[92],"Then,":[96],"based":[101],"improved":[104],"designed":[108,235],"by":[109,119,191],"using":[110],"backstepping":[112],"method,":[113],"its":[115],"stability":[116],"proved":[118],"Lyapunov":[121],"theorem.":[122],"Third,":[123],"mitigate":[125],"round-trip":[126],"operation":[127],"actuator":[130],"due":[131],"saturation,":[134],"variable":[137],"during":[140],"design":[143],"process.":[144],"Findings":[145],"verify":[147],"accuracy":[150],"environmental":[152],"adaptability":[153],"proposed":[156,186],"controller,":[157],"numerical":[158],"simulations":[159],"are":[160,170,189],"carried":[161],"out":[162],"under":[163],"three":[164],"different":[165],"cases,":[166],"field":[168],"experiments":[169],"performed":[171],"in":[172],"harvesting":[173],"wheat":[174],"paddy.":[176],"The":[177],"experimental":[178],"results":[179],"demonstrate":[180],"errors":[183],"that":[188],"reduced":[190],"more":[192],"than":[193],"28%":[194],"with":[195,240],"contrast":[196],"conventional":[199],"controllers.":[200],"Originality/value":[201],"An":[202],"network-based":[205],"considers":[212],"both":[213],"saturation.":[218],"As":[219],"far":[220],"as":[221],"we":[222],"know,":[223],"this":[224],"first":[227],"time":[228],"specifically":[234],"harvester":[239],"full":[241],"consideration":[242],"working":[244],"characteristics.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
