{"id":"https://openalex.org/W1646110031","doi":"https://doi.org/10.23919/ecc.2013.6669208","title":"Modeling and predictive control of nonlinear hybrid systems using disaggregation of variables - A convex formulation","display_name":"Modeling and predictive control of nonlinear hybrid systems using disaggregation of variables - A convex formulation","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1646110031","doi":"https://doi.org/10.23919/ecc.2013.6669208","mag":"1646110031"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2013.6669208","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2013.6669208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 European Control Conference (ECC)","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/A5018354839","display_name":"Naresh N. Nandola","orcid":"https://orcid.org/0000-0002-1195-3726"},"institutions":[{"id":"https://openalex.org/I4210141791","display_name":"ABB (India)","ror":"https://ror.org/0461kck49","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210141791","https://openalex.org/I885143765"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Naresh N. Nandola","raw_affiliation_strings":["ABB Corporate Research Center, Bangalore, India","Corp. Res. Center, ABB, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"ABB Corporate Research Center, Bangalore, India","institution_ids":["https://openalex.org/I4210141791"]},{"raw_affiliation_string":"Corp. Res. Center, ABB, Bangalore, India","institution_ids":["https://openalex.org/I4210141791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001327237","display_name":"Karan Puttannaiah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141791","display_name":"ABB (India)","ror":"https://ror.org/0461kck49","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210141791","https://openalex.org/I885143765"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Karan Puttannaiah","raw_affiliation_strings":["ABB CRC, ASU, Tempe, AZ, USA","ABB CRC, India"],"affiliations":[{"raw_affiliation_string":"ABB CRC, ASU, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"ABB CRC, India","institution_ids":["https://openalex.org/I4210141791"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018354839"],"corresponding_institution_ids":["https://openalex.org/I4210141791"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.04094599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2681","last_page":"2686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":1.0,"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/T10791","display_name":"Advanced Control Systems Optimization","score":1.0,"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":0.9976000189781189,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.8580230474472046},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7468287944793701},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5344390869140625},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5223259329795837},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5214035511016846},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.4567296802997589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4480757713317871},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.44494935870170593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4394931495189667},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4283592700958252},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.41241300106048584},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3858132064342499},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3262997269630432},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.27373403310775757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.133217453956604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07879403233528137}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.8580230474472046},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7468287944793701},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5344390869140625},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5223259329795837},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5214035511016846},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.4567296802997589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4480757713317871},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.44494935870170593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4394931495189667},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4283592700958252},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.41241300106048584},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3858132064342499},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3262997269630432},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27373403310775757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.133217453956604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07879403233528137},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":1,"locations":[{"id":"doi:10.23919/ecc.2013.6669208","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2013.6669208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1514799972","https://openalex.org/W1977985274","https://openalex.org/W1986990734","https://openalex.org/W1991849315","https://openalex.org/W1994234567","https://openalex.org/W2018431647","https://openalex.org/W2023599497","https://openalex.org/W2055321655","https://openalex.org/W2065034096","https://openalex.org/W2066704189","https://openalex.org/W2072508748","https://openalex.org/W2084006722","https://openalex.org/W2096601764","https://openalex.org/W2122171303","https://openalex.org/W2138947309","https://openalex.org/W2152185829"],"related_works":["https://openalex.org/W1968813561","https://openalex.org/W1201114281","https://openalex.org/W2362194702","https://openalex.org/W2154236742","https://openalex.org/W2104769107","https://openalex.org/W4401726393","https://openalex.org/W4240278998","https://openalex.org/W1482140855","https://openalex.org/W2361835903","https://openalex.org/W2080578447"],"abstract_inverted_index":{"The":[0,43,104,163],"current":[1],"work":[2],"is":[3,169],"motivated":[4],"by":[5],"the":[6,58,80,90,99,127,137,158,166],"need":[7],"of":[8,18,50,52,89,161,165],"achieving":[9],"global":[10],"solution":[11,168],"and":[12,34,71,78,119],"better":[13],"computational":[14,153],"efficiency":[15],"for":[16,41,102,157],"control":[17,38,160],"any":[19,146],"arbitrary":[20],"nonlinear":[21],"hybrid":[22,175],"dynamical":[23,114],"systems":[24],"(NHDS).":[25],"In":[26,64],"this":[27],"work,":[28],"we":[29,66],"present":[30],"a":[31,84,121,133,172],"novel":[32],"modeling":[33,45,129],"corresponding":[35,138],"model":[36,75,82,116,135,140],"predictive":[37,159],"(MPC)":[39],"formulation":[40,106],"NHDS.":[42,103,162],"proposed":[44,128,167],"approach":[46,130],"relies":[47],"on":[48,171],"disaggregation":[49,88],"polynomials":[51,77],"binary":[53,148],"variables":[54,70,91],"that":[55],"appear":[56],"in":[57,83,132],"multiple":[59,93,111],"partially":[60],"linearized":[61],"(MPL)":[62],"model.":[63],"particular,":[65],"use":[67],"auxiliary":[68],"continuous":[69],"linear":[72,85],"constraints":[73],"to":[74,97],"these":[76],"represent":[79],"MPL":[81],"fashion.":[86],"Subsequently,":[87],"based":[92,117],"models":[94],"are":[95],"used":[96,156],"formulate":[98],"MPC":[100,105,118],"law":[101],"takes":[107],"similar":[108],"form":[109],"as":[110,141],"mixed":[112],"logical":[113],"(MMLD)":[115],"yields":[120],"convex":[122],"MIQP":[123],"optimization":[124],"problem.":[125],"Moreover,":[126],"results":[131],"compact":[134],"than":[136],"MMLD":[139],"it":[142],"refrains":[143],"from":[144],"adding":[145],"extra":[147],"variables.":[149],"Therefore,":[150],"offers":[151],"certain":[152],"advantage":[154],"when":[155],"efficacy":[164],"demonstrated":[170],"three-tank":[173],"benchmark":[174],"system.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}