{"id":"https://openalex.org/W2155496383","doi":"https://doi.org/10.1109/cca.2005.1507102","title":"A generalizing fuzzy model for shallow cavity flows under different mach regimes","display_name":"A generalizing fuzzy model for shallow cavity flows under different mach regimes","publication_year":2005,"publication_date":"2005-09-12","ids":{"openalex":"https://openalex.org/W2155496383","doi":"https://doi.org/10.1109/cca.2005.1507102","mag":"2155496383"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2005.1507102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2005.1507102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005.","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/A5087840669","display_name":"Mehmet \u00d6nder Efe","orcid":"https://orcid.org/0000-0002-5992-895X"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M.O. Efe","raw_affiliation_strings":["Dept. of Electr. & Electron. Eng., TOBB Univ. of Econ. & Technol., Ankara"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., TOBB Univ. of Econ. & Technol., Ankara","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014504147","display_name":"Marco Debiasi","orcid":"https://orcid.org/0000-0002-1941-5148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Debiasi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675500","display_name":"Peng Yan","orcid":"https://orcid.org/0000-0003-2756-5418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Yan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081860562","display_name":"Hitay \u00d6zbay","orcid":"https://orcid.org/0000-0003-1134-0679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Ozbay","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015756609","display_name":"Mo Samimy","orcid":"https://orcid.org/0000-0003-0234-9655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Samimy","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087840669"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59075083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2004","issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9904999732971191,"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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.7179878950119019},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5742751359939575},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5693546533584595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5273148417472839},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.526970386505127},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5171720385551453},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5140932202339172},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5046921968460083},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.4753682017326355},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.43870651721954346},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42989328503608704},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4206851124763489},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3285839557647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3158450126647949},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.306204617023468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2981194853782654},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.28933191299438477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27340859174728394},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.25509095191955566},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.1595844030380249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14608177542686462},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0913057029247284}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7179878950119019},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5742751359939575},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5693546533584595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273148417472839},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.526970386505127},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5171720385551453},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5140932202339172},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5046921968460083},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.4753682017326355},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.43870651721954346},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42989328503608704},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4206851124763489},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3285839557647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3158450126647949},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.306204617023468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2981194853782654},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.28933191299438477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27340859174728394},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25509095191955566},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.1595844030380249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14608177542686462},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0913057029247284},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"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/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/cca.2005.1507102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2005.1507102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005.","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/W82072587","https://openalex.org/W1553483187","https://openalex.org/W1569189826","https://openalex.org/W1982251131","https://openalex.org/W2007961482","https://openalex.org/W2037728222","https://openalex.org/W2079325629","https://openalex.org/W2096002874","https://openalex.org/W2129677452","https://openalex.org/W2136891035","https://openalex.org/W2170786872","https://openalex.org/W2182448195","https://openalex.org/W2313724093","https://openalex.org/W2318366634","https://openalex.org/W2320211364","https://openalex.org/W2334435296","https://openalex.org/W2914825457","https://openalex.org/W6686333163"],"related_works":["https://openalex.org/W2773005380","https://openalex.org/W4388451300","https://openalex.org/W2060361571","https://openalex.org/W1879432897","https://openalex.org/W2256857057","https://openalex.org/W3167814444","https://openalex.org/W3176863924","https://openalex.org/W2023513928","https://openalex.org/W2182392910","https://openalex.org/W4361984403"],"abstract_inverted_index":{"Modeling":[0],"of":[1,27,61,77,109,158],"a":[2,6,53,70,99,130,145],"flow":[3,30,125],"passing":[4],"over":[5,134],"shallow":[7],"cavity":[8,29,166],"is":[9,33,51,98,118,150],"an":[10,45,89],"interesting":[11],"problem":[12,32],"as":[13],"the":[14,22,28,34,38,59,64,75,78,92,107,115,124,135,159,165],"internal":[15],"dynamics":[16],"are":[17],"inextricably":[18],"intertwined":[19],"due":[20],"to":[21,68,119,128,152],"Navier-Stokes":[23],"equations.":[24],"The":[25,112,138],"origin":[26],"identification":[31,117],"desire":[35],"for":[36,102],"reducing":[37],"skin":[39],"friction":[40],"in":[41,106,114],"aerial":[42],"vehicles":[43],"through":[44],"active":[46],"control":[47],"effort.":[48],"As":[49],"there":[50],"not":[52],"well":[54],"developed":[55],"closed-loop":[56],"scheme,":[57],"towards":[58],"goal":[60],"feedback":[62],"control,":[63],"first":[65],"step":[66,155],"becomes":[67],"develop":[69],"suitable":[71],"dynamic":[72],"model":[73,149],"imitating":[74],"behavior":[76,162],"plant":[79],"under":[80],"certain":[81],"operating":[82],"conditions.":[83],"For":[84],"this":[85],"purpose,":[86],"we":[87,140],"present":[88],"approach":[90],"exploiting":[91],"fuzzy":[93,116,131,148],"inference":[94],"mechanisms.":[95],"Fuzzy":[96],"logic":[97],"practical":[100],"tool":[101],"expressing":[103],"human":[104],"expertise":[105],"form":[108],"if-then":[110],"statements.":[111],"idea":[113],"perform":[120,153],"local":[121],"observations":[122],"from":[123],"field":[126],"and":[127],"find":[129],"interpolation":[132],"scheme":[133],"sensory":[136],"information.":[137],"results":[139],"have":[141],"observed":[142,163],"indicate":[143],"that":[144],"classical":[146],"non-adaptive":[147],"able":[151],"one":[154],"ahead":[156],"prediction":[157],"critically":[160],"essential":[161],"at":[164],"floor":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}