{"id":"https://openalex.org/W4206455653","doi":"https://doi.org/10.1109/cog52621.2021.9619139","title":"Real-Time Model Predictive Control for Shot Aiming in a Physical Pinball Machine","display_name":"Real-Time Model Predictive Control for Shot Aiming in a Physical Pinball Machine","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W4206455653","doi":"https://doi.org/10.1109/cog52621.2021.9619139"},"language":"en","primary_location":{"id":"doi:10.1109/cog52621.2021.9619139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619139","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Games (CoG)","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/A5075911477","display_name":"Zachariah E. Fuchs","orcid":"https://orcid.org/0000-0002-1478-6169"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zachariah E. Fuchs","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, OH"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, OH","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001478238","display_name":"Pavan Saranguhewa","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavan Saranguhewa","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, OH"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, OH","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042246637","display_name":"Michael Ikuru","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Ikuru","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, OH"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, OH","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075911477"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":1.309,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78564772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"550","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9997000098228455,"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/T12810","display_name":"Real-time simulation and control systems","score":0.996999979019165,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9902999997138977,"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/testbed","display_name":"Testbed","score":0.9031349420547485},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6477499008178711},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6462864875793457},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6423001289367676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382505893707275},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5905373096466064},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.477979838848114},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.46943333745002747},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4067135453224182},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2822779417037964},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.27162158489227295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25789594650268555}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.9031349420547485},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6477499008178711},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6462864875793457},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6423001289367676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382505893707275},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5905373096466064},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.477979838848114},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.46943333745002747},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4067135453224182},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2822779417037964},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27162158489227295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25789594650268555},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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:10.1109/cog52621.2021.9619139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619139","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2071984725","https://openalex.org/W2145339207","https://openalex.org/W2184303261","https://openalex.org/W2189025296","https://openalex.org/W2766447205","https://openalex.org/W2801661487","https://openalex.org/W2901796758","https://openalex.org/W2957360994","https://openalex.org/W3114046078","https://openalex.org/W4391969580","https://openalex.org/W6686035240","https://openalex.org/W6862104568"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W2952090425","https://openalex.org/W2538333368","https://openalex.org/W3127866798","https://openalex.org/W4294845631","https://openalex.org/W1518153952"],"abstract_inverted_index":{"We":[0],"examine":[1],"the":[2,7,36],"shot":[3,61],"aiming":[4,85],"problem":[5],"in":[6],"context":[8],"of":[9,74,81],"a":[10,43,70,79],"physical":[11,44],"pinball":[12,45,66],"machine.":[13],"A":[14,28],"parametric":[15],"switched":[16],"mode":[17],"system":[18],"model":[19,29],"is":[20,32],"constructed":[21],"and":[22,39,68],"parameter":[23],"tuning":[24],"techniques":[25],"are":[26,47],"presented.":[27],"predictive":[30],"controller":[31,51],"developed":[33,50],"that":[34],"leverages":[35],"tuned":[37],"model,":[38],"experimental":[40],"results":[41],"using":[42],"testbed":[46],"examined.":[48],"The":[49],"successfully":[52],"aimed":[53],"shots":[54],"with":[55],"sufficient":[56],"precision":[57],"to":[58,76],"satisfy":[59],"most":[60],"constraints":[62],"within":[63],"real-world,":[64],"commercial":[65],"machines":[67],"provides":[69],"good":[71],"baseline":[72],"level":[73],"performance":[75],"use":[77],"as":[78],"point":[80],"comparison":[82],"for":[83],"future":[84],"controllers.":[86]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
