{"id":"https://openalex.org/W3119138151","doi":"https://doi.org/10.1109/ssci47803.2020.9308181","title":"Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning","display_name":"Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3119138151","doi":"https://doi.org/10.1109/ssci47803.2020.9308181","mag":"3119138151"},"language":"en","primary_location":{"id":"doi:10.1109/ssci47803.2020.9308181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5047042559","display_name":"Ravi Kiran Inapakurthi","orcid":"https://orcid.org/0000-0003-2519-342X"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ravi kiran Inapakurthi","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057645083","display_name":"Srinivas Soumitri Miriyala","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivas Soumitri Miriyala","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090580264","display_name":"Suryanarayana Kolluri","orcid":"https://orcid.org/0000-0003-2731-7107"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]},{"id":"https://openalex.org/I4210164117","display_name":"Walker (United States)","ror":"https://ror.org/05hgh7849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164117"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suryanarayana Kolluri","raw_affiliation_strings":["Walker Department of Mechanical engineering and Material Science Engineering, University of Texas at Austin, Austin, United States of America"],"affiliations":[{"raw_affiliation_string":"Walker Department of Mechanical engineering and Material Science Engineering, University of Texas at Austin, Austin, United States of America","institution_ids":["https://openalex.org/I86519309","https://openalex.org/I4210164117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084880581","display_name":"Kishalay Mitra","orcid":"https://orcid.org/0000-0001-5660-6878"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kishalay Mitra","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047042559"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.2465,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53699457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9986000061035156,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9986000061035156,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9983000159263611,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9866999983787537,"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/model-predictive-control","display_name":"Model predictive control","score":0.7392733693122864},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6138719320297241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5585671067237854},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5531467795372009},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5310908555984497},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49244627356529236},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4801749289035797},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.458577424287796},{"id":"https://openalex.org/keywords/grinding","display_name":"Grinding","score":0.42933380603790283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41601818799972534},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4112108647823334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39714083075523376},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3439371585845947},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18040695786476135},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.16247394680976868}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7392733693122864},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6138719320297241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5585671067237854},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5531467795372009},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5310908555984497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49244627356529236},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4801749289035797},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.458577424287796},{"id":"https://openalex.org/C2777571299","wikidata":"https://www.wikidata.org/wiki/Q3680646","display_name":"Grinding","level":2,"score":0.42933380603790283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41601818799972534},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4112108647823334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39714083075523376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3439371585845947},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18040695786476135},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.16247394680976868},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci47803.2020.9308181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:raiith.iith.ac.in:8034","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/8034/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W81137451","https://openalex.org/W1964400048","https://openalex.org/W1984855308","https://openalex.org/W2004814624","https://openalex.org/W2026915918","https://openalex.org/W2042638250","https://openalex.org/W2044798285","https://openalex.org/W2045410529","https://openalex.org/W2067805224","https://openalex.org/W2092942521","https://openalex.org/W2130382978","https://openalex.org/W2134673975","https://openalex.org/W2355322089","https://openalex.org/W2614311588","https://openalex.org/W2982081326","https://openalex.org/W4285719527","https://openalex.org/W6603433805","https://openalex.org/W6679301673"],"related_works":["https://openalex.org/W2558687676","https://openalex.org/W2055172913","https://openalex.org/W4310396753","https://openalex.org/W2388159328","https://openalex.org/W2794371967","https://openalex.org/W2376458274","https://openalex.org/W2312852209","https://openalex.org/W2373143343","https://openalex.org/W2161705627","https://openalex.org/W2060165215"],"abstract_inverted_index":{"Control":[0],"problems":[1],"of":[2,91,128,134],"engineering":[3],"interest":[4],"such":[5],"as":[6],"industrial":[7,168],"grinding":[8],"circuit":[9],"(IGC)":[10],"are":[11],"essential":[12],"for":[13,51,102,166],"minimizing":[14],"the":[15,41,56,63,73,76,79,98,107,119,132,146,154,163],"energy":[16,28,67,147],"consumption,":[17],"maximizing":[18],"throughput":[19,129],"or":[20],"maintaining":[21],"product":[22],"quality":[23],"to":[24,55,71,82,131,138,145],"make":[25],"these":[26],"processes":[27],"sustainable":[29],"in":[30,61,97,106,113],"future.":[31],"Detailed":[32],"physics":[33],"based":[34,158],"models,":[35],"although":[36],"provide":[37],"more":[38],"insight":[39],"into":[40],"process":[42,169],"and":[43,109,141],"yield":[44],"accurate":[45],"results,":[46],"often":[47],"cannot":[48],"be":[49],"used":[50,70,96],"control":[52,123],"purposes":[53],"owing":[54],"high":[57],"computational":[58],"time":[59],"involved":[60,105],"solving":[62],"complicated":[64],"mass,":[65],"momentum,":[66],"balance":[68],"equations":[69],"describe":[72],"process.":[74],"In":[75],"current":[77],"study,":[78],"aim":[80],"is":[81,149],"use":[83],"optimally":[84],"designed":[85],"Recurrent":[86],"Neural":[87],"Networks,":[88],"a":[89],"type":[90],"data-based":[92],"modeling":[93,103],"technique":[94],"popularly":[95],"machine":[99,156],"learning":[100,157],"domain,":[101],"transients":[104],"IGC":[108],"test":[110],"its":[111],"effectiveness":[112],"set":[114],"point":[115],"(SP)":[116],"tracking":[117,127,165],"under":[118],"nonlinear":[120,167],"model":[121],"predictive":[122],"(NMPC)":[124],"framework.":[125],"SP":[126,164],"(related":[130,144],"amount":[133],"raw":[135],"materials":[136],"processed":[137],"give":[139],"products)":[140],"recirculation":[142],"load":[143],"consumption)":[148],"performed.":[150],"We":[151],"observe":[152],"that":[153],"developed":[155],"models":[159],"could":[160],"effectively":[161],"perform":[162],"like":[170],"grinding.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
