{"id":"https://openalex.org/W4410887573","doi":"https://doi.org/10.1109/syscon64521.2025.11014653","title":"2D Behavior Models for Adjusting Quadratic-Cost Weightings and Directly Tuning Gains","display_name":"2D Behavior Models for Adjusting Quadratic-Cost Weightings and Directly Tuning Gains","publication_year":2025,"publication_date":"2025-04-07","ids":{"openalex":"https://openalex.org/W4410887573","doi":"https://doi.org/10.1109/syscon64521.2025.11014653"},"language":"en","primary_location":{"id":"doi:10.1109/syscon64521.2025.11014653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","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/A5013184354","display_name":"George Davey Smith","orcid":"https://orcid.org/0000-0002-1407-8314"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"George Smith","raw_affiliation_strings":["Victoria,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria,Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5013184354"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.27410000562667847,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.27410000562667847,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5581075549125671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327460765838623},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4731674790382385},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38393813371658325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19045892357826233},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18551206588745117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1457236409187317}],"concepts":[{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5581075549125671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327460765838623},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4731674790382385},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38393813371658325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19045892357826233},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18551206588745117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1457236409187317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syscon64521.2025.11014653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","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":11,"referenced_works":["https://openalex.org/W2981204687","https://openalex.org/W3120391047","https://openalex.org/W3127666766","https://openalex.org/W3127972810","https://openalex.org/W4200100878","https://openalex.org/W4283811623","https://openalex.org/W4323048232","https://openalex.org/W4379911228","https://openalex.org/W4391920970","https://openalex.org/W4393868201","https://openalex.org/W4399801468"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Formal":[0],"design":[1,30,95,231],"procedures":[2],"for":[3,32,76,84,235,244],"choosing":[4],"Q":[5],"and":[6,110,156,237],"R":[7],"weighting":[8],"matrices":[9],"in":[10,26,112,176,219,221],"a":[11,16,23,34,62,67,121,216,241,245,263],"linear":[12],"quadratic":[13,18],"regulator,":[14],"or":[15,133],"related":[17],"optimization,":[19],"typically":[20],"provide":[21,61],"only":[22,135],"starting":[24],"point":[25],"an":[27,55,210,222],"iterative":[28],"applied":[29,230],"procedure":[31,232],"identifying":[33],"solution":[35,58,68,129],"that":[36,69],"will":[37],"best":[38],"trade":[39],"off":[40],"all":[41],"the":[42,51,89,113,128,144,148,164,173,177,183,188,191,198,201,259],"real-world":[43,72],"objectives":[44],"while":[45],"meeting":[46],"constraints.":[47],"Furthermore,":[48],"directly":[49],"tuning":[50,83,134],"control":[52,57,103,192,217,243],"gains":[53,193],"about":[54],"optimal":[56,236],"may":[59,106],"also":[60],"practical":[63],"way":[64,122],"of":[65,91,127,146,203,240,255,261],"finding":[66],"better":[70],"meets":[71],"trade-offs,":[73],"especially":[74],"useful":[75],"applications":[77],"where":[78],"one":[79],"would":[80,233],"like":[81],"real-time":[82,220],"changing":[85,147],"situations.":[86],"When":[87],"exploring":[88],"effects":[90,145],"more":[92],"than":[93],"two":[94,136,149,170],"parameters,":[96],"whether":[97],"they":[98],"be":[99],"cost-functional":[100,174],"weightings":[101,175],"and/or":[102],"gains,":[104],"people":[105],"resort":[107],"to":[108,123,163,200,213,253,265],"trial":[109],"error":[111],"(generally)":[114],"high-dimensional":[115],"space.":[116],"Instead,":[117],"this":[118,160,229],"paper":[119],"presents":[120],"explore":[124],"large":[125],"parts":[126],"space":[130,202],"by":[131,151],"adjusting":[132],"portion":[137],"parameters.":[138],"Moreover,":[139],"we":[140],"can":[141],"easily":[142],"understand":[143],"portions":[150,165],"drawing":[152],"parallels":[153,252],"between":[154],"robot":[155,247],"human":[157,256],"behavior;":[158],"thus":[159],"work":[161,234],"refers":[162],"as":[166],"behavior":[167,180,186],"traits.":[168],"The":[169,195],"traits":[171,189],"adjust":[172,215],"proposed":[178,184],"general":[179],"model.":[181],"In":[182],"specific":[185],"model,":[187],"tune":[190],"directly.":[194],"methods":[196],"limit":[197],"exploration":[199],"near-optimal":[204,238],"solutions,":[205],"which":[206],"should":[207],"allow":[208],"even":[209],"untrained":[211],"operator":[212],"safely":[214],"system":[218],"appealingly":[223],"intuitive":[224],"manner.":[225],"Simulations":[226],"show":[227],"how":[228],"designs":[239],"nonlinear":[242],"single":[246],"link.":[248],"A":[249],"discussion":[250],"draws":[251],"understandings":[254],"behavior,":[257],"with":[258],"aim":[260],"providing":[262],"path":[264],"easing":[266],"human-machine":[267],"interactions.":[268]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
