{"id":"https://openalex.org/W2161180754","doi":"https://doi.org/10.1109/acc.2012.6315573","title":"Hybrid intelligent optimal control for flotation processes","display_name":"Hybrid intelligent optimal control for flotation processes","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2161180754","doi":"https://doi.org/10.1109/acc.2012.6315573","mag":"2161180754"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2012.6315573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2012.6315573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 American Control Conference (ACC)","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/A5100394092","display_name":"Haibo Li","orcid":"https://orcid.org/0000-0003-0437-7617"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Li","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042520521","display_name":"Tianyou Chai","orcid":"https://orcid.org/0000-0002-4623-1483"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyou Chai","raw_affiliation_strings":["Research Center of Automation, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Automation, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618152","display_name":"Liyan Zhang","orcid":"https://orcid.org/0000-0002-8846-1666"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"4891","last_page":"4896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9298999905586243,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9146999716758728,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"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":0.670432984828949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6184836626052856},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5928924083709717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5793917775154114},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5723766088485718},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5574665665626526},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.5335121154785156},{"id":"https://openalex.org/keywords/intelligent-control","display_name":"Intelligent control","score":0.5190461277961731},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.5154467225074768},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4937313497066498},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4201141893863678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3987880051136017},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3711528778076172},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3487549424171448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2918158173561096}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.670432984828949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6184836626052856},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5928924083709717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793917775154114},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5723766088485718},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5574665665626526},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.5335121154785156},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.5190461277961731},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.5154467225074768},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4937313497066498},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4201141893863678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3987880051136017},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3711528778076172},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3487549424171448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2918158173561096},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2012.6315573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2012.6315573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 American Control Conference (ACC)","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":14,"referenced_works":["https://openalex.org/W1967631694","https://openalex.org/W1980744217","https://openalex.org/W2006312755","https://openalex.org/W2012266793","https://openalex.org/W2022266106","https://openalex.org/W2030563730","https://openalex.org/W2039671661","https://openalex.org/W2063748291","https://openalex.org/W2163320379","https://openalex.org/W2169387232","https://openalex.org/W2171553064","https://openalex.org/W2349764251","https://openalex.org/W3023756109","https://openalex.org/W6666843283"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W1963486701","https://openalex.org/W2115072676","https://openalex.org/W2045727192","https://openalex.org/W4311212821","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W2158578859"],"abstract_inverted_index":{"In":[0],"flotation":[1,91,143],"process,":[2],"the":[3,7,16,31,49,70],"concentrate":[4],"grade":[5,9],"and":[6,14,19,34,42,48,124,153],"tailing":[8],"are":[10,39,53,66],"crucial":[11],"technical":[12,22,46,72],"indices":[13,23,47,73],"reflect":[15],"product":[17],"quality":[18],"efficiency.":[20],"The":[21,135],"hardly":[24],"be":[25,56],"measured":[26],"online":[27],"continuously":[28],"varying":[29],"with":[30,128],"process":[32,50,144],"variables":[33],"boundary":[35],"conditions.":[36],"Moreover,":[37],"there":[38],"strong":[40],"nonlinearity":[41],"uncertainty":[43],"between":[44],"such":[45],"variables,":[51],"which":[52],"difficult":[54],"to":[55,142],"described":[57],"by":[58],"accurate":[59],"mathematical":[60],"model.":[61],"Therefore":[62],"conventional":[63],"control":[64,86],"methods":[65],"incapable":[67],"of":[68,96],"keeping":[69],"actual":[71],"within":[74],"their":[75],"target":[76],"ranges.":[77],"To":[78],"solve":[79],"this":[80],"problem,":[81],"a":[82,100,108,117,125,146],"hybrid":[83],"intelligent":[84],"optimal":[85],"method":[87,94],"is":[88],"presented":[89],"for":[90],"process.":[92],"This":[93],"consists":[95],"four":[97],"modules,":[98],"namely":[99],"pre-setting":[101],"model":[102,111,120],"based":[103,112,121],"on":[104,113,122],"CBR":[105],"(case-based":[106],"reasoning),":[107,116],"feedback":[109],"compensation":[110,119],"RBR":[114,123],"(rule-based":[115],"feedforward":[118],"soft":[126],"sensor":[127],"RBF":[129],"(radial":[130],"basis":[131],"function)":[132],"neural":[133],"network.":[134],"proposed":[136],"approach":[137],"has":[138,156],"been":[139,157],"successfully":[140],"applied":[141],"in":[145,151],"hematite":[147],"ore":[148],"processing":[149],"plant":[150],"China,":[152],"its":[154],"effectiveness":[155],"proved":[158],"evidently.":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}