{"id":"https://openalex.org/W2122929878","doi":"https://doi.org/10.1109/icsmc.2004.1401153","title":"Performance analysis of 4 types of conjugate gradient algorithms in the nonlinear dynamic modelling of a TRMS using feedforward neural networks","display_name":"Performance analysis of 4 types of conjugate gradient algorithms in the nonlinear dynamic modelling of a TRMS using feedforward neural networks","publication_year":2005,"publication_date":"2005-03-31","ids":{"openalex":"https://openalex.org/W2122929878","doi":"https://doi.org/10.1109/icsmc.2004.1401153","mag":"2122929878"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1401153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5062288524","display_name":"Mohammad Hasan Shaheed","orcid":"https://orcid.org/0000-0002-3087-8442"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I185658715","display_name":"Universities UK","ror":"https://ror.org/00mmfs450","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I185658715"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"M.H. Shaheed","raw_affiliation_strings":["Department of Engineering, Queen Mary, University of London, London, UK","Dept. of Eng., London Univ., UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Queen Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Dept. of Eng., London Univ., UK","institution_ids":["https://openalex.org/I185658715","https://openalex.org/I45129253","https://openalex.org/I124357947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062288524"],"corresponding_institution_ids":["https://openalex.org/I124357947","https://openalex.org/I166337079","https://openalex.org/I185658715","https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":3.2066,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92413341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"5985","last_page":"5990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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":0.9966999888420105,"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/T11236","display_name":"Control Systems and Identification","score":0.9955999851226807,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.98089998960495,"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/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.8271496295928955},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7028486728668213},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6972402334213257},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.6932709813117981},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6469358801841736},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6139700412750244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788499712944031},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5222307443618774},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5063995122909546},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.49331751465797424},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.47573351860046387},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4265977740287781},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.41198205947875977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3934853971004486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30465710163116455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2584158778190613},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.21428728103637695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13303041458129883}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.8271496295928955},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7028486728668213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6972402334213257},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.6932709813117981},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6469358801841736},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6139700412750244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788499712944031},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5222307443618774},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5063995122909546},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.49331751465797424},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.47573351860046387},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4265977740287781},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.41198205947875977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3934853971004486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30465710163116455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2584158778190613},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.21428728103637695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13303041458129883},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1401153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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":19,"referenced_works":["https://openalex.org/W296863324","https://openalex.org/W1544266542","https://openalex.org/W1900101064","https://openalex.org/W1994710951","https://openalex.org/W2012231377","https://openalex.org/W2014039087","https://openalex.org/W2015801280","https://openalex.org/W2019861053","https://openalex.org/W2043382734","https://openalex.org/W2051812123","https://openalex.org/W2087070363","https://openalex.org/W2106876352","https://openalex.org/W2146059660","https://openalex.org/W2155217990","https://openalex.org/W2169686547","https://openalex.org/W2295972597","https://openalex.org/W3022436500","https://openalex.org/W3207342693","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W4312154385","https://openalex.org/W2185955524","https://openalex.org/W2782354941","https://openalex.org/W2115072676","https://openalex.org/W97768505","https://openalex.org/W2045727192","https://openalex.org/W2918103456","https://openalex.org/W4311212821","https://openalex.org/W2023914354","https://openalex.org/W2904357295"],"abstract_inverted_index":{"Nowadays":[0],"aircrafts":[1,29],"are":[2,46,108,122],"expected":[3],"to":[4,16,34,74],"perform":[5],"varied":[6],"and":[7,20,42,119,129],"complex":[8],"tasks":[9],"which":[10],"have":[11],"presented":[12],"unprecedented":[13],"control":[14,21,40],"challenges":[15],"the":[17,36,62,117],"aero":[18],"dynamicists":[19],"engineers.":[22],"This":[23,58],"implies":[24],"that":[25],"linear":[26],"characterization":[27,52],"of":[28,64,103,116,126,131],"is":[30,83],"not":[31],"well":[32],"enough":[33],"describe":[35],"systems":[37],"characteristics":[38],"for":[39,68,113],"purposes":[41],"nonlinear":[43,51,65,87],"modelling":[44,66],"techniques":[45],"required.":[47],"Neural":[48],"network":[49,118],"based":[50],"look":[53],"promising":[54],"in":[55,110,124],"this":[56,111],"regard.":[57],"paper":[59],"investigates":[60],"into":[61],"development":[63],"paradigms":[67],"modern":[69],"air":[70],"vehicles":[71],"with":[72,90,95],"application":[73],"a":[75,86,96],"twin":[76],"rotor":[77],"multi-input-multi-output":[78],"system":[79,82],"(TRMS).":[80],"The":[81],"modelled":[84],"using":[85],"autoregressive":[88],"process":[89],"external":[91],"input":[92],"(NARX)":[93],"paradigm":[94],"feedforward":[97],"neural":[98],"network.":[99],"Four":[100],"different":[101],"types":[102],"conjugate":[104],"gradient":[105],"algorithms":[106],"(CGAs)":[107],"used":[109],"investigation":[112],"supervised":[114],"learning":[115],"their":[120],"performances":[121],"compared":[123],"terms":[125],"input-output":[127],"mapping":[128],"speed":[130],"convergence.":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
