{"id":"https://openalex.org/W2222154264","doi":null,"title":"Nonlinear model predictive distillation control using an extended neural Hammerstein model","display_name":"Nonlinear model predictive distillation control using an extended neural Hammerstein model","publication_year":1998,"publication_date":"1998-05-01","ids":{"openalex":"https://openalex.org/W2222154264","mag":"2222154264"},"language":"en","primary_location":{"id":"pmh:oai:ttu-ir.tdl.org:2346/10997","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2346/10997","pdf_url":"https://ttu-ir.tdl.org/bitstreams/f5c8c86c-939f-4d67-b055-02cdd34318df/download","source":{"id":"https://openalex.org/S4306402519","display_name":"ThinkTech (Texas Tech University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12315562","host_organization_name":"Texas Tech University","host_organization_lineage":["https://openalex.org/I12315562"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ttu-ir.tdl.org/bitstreams/f5c8c86c-939f-4d67-b055-02cdd34318df/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090735859","display_name":"Balachandran Rangaratnam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Balachandran Rangaratnam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5090735859"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.975600004196167,"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":0.975600004196167,"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/T11236","display_name":"Control Systems and Identification","score":0.01860000006854534,"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/T11053","display_name":"Process Optimization and Integration","score":0.004000000189989805,"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/nonlinear-model-predictive-control","display_name":"nonlinear model predictive control","score":1.0},{"id":"https://openalex.org/keywords/distillation-control","display_name":"distillation control","score":0.921999990940094},{"id":"https://openalex.org/keywords/hammerstein-model","display_name":"Hammerstein model","score":0.9390000104904175},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.7630000114440918},{"id":"https://openalex.org/keywords/transfer-function-model","display_name":"transfer function model","score":0.6389999985694885},{"id":"https://openalex.org/keywords/setpoint-tracking","display_name":"reference tracking","score":0.6880000233650208},{"id":"https://openalex.org/keywords/disturbance-rejection","display_name":"disturbance rejection","score":0.8100000023841858},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"nonlinear system identification","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C2984755018","wikidata":"https://www.wikidata.org/wiki/Q17118374","display_name":"Nonlinear model","level":3,"score":0.7739773988723755},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6863057613372803},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5986800193786621},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5746903419494629},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4810188412666321},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4629104733467102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43254250288009644},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33426064252853394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3260951638221741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2347067892551422},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09298959374427795},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07950180768966675},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07900276780128479},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:ttu-ir.tdl.org:2346/10997","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2346/10997","pdf_url":"https://ttu-ir.tdl.org/bitstreams/f5c8c86c-939f-4d67-b055-02cdd34318df/download","source":{"id":"https://openalex.org/S4306402519","display_name":"ThinkTech (Texas Tech University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12315562","host_organization_name":"Texas Tech University","host_organization_lineage":["https://openalex.org/I12315562"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:2222154264","doi":null,"is_oa":false,"landing_page_url":"https://ttu-ir.tdl.org/handle/2346/10997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:ttu-ir.tdl.org:2346/10997","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2346/10997","pdf_url":"https://ttu-ir.tdl.org/bitstreams/f5c8c86c-939f-4d67-b055-02cdd34318df/download","source":{"id":"https://openalex.org/S4306402519","display_name":"ThinkTech (Texas Tech University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12315562","host_organization_name":"Texas Tech University","host_organization_lineage":["https://openalex.org/I12315562"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2222154264.pdf","grobid_xml":"https://content.openalex.org/works/W2222154264.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W584784207","https://openalex.org/W1531857721","https://openalex.org/W1553836156","https://openalex.org/W1571835867","https://openalex.org/W1604822211","https://openalex.org/W1964725680","https://openalex.org/W1988718129","https://openalex.org/W1995930498","https://openalex.org/W1997182903","https://openalex.org/W1999450621","https://openalex.org/W2016211524","https://openalex.org/W2026794702","https://openalex.org/W2038085771","https://openalex.org/W2040870580","https://openalex.org/W2049881253","https://openalex.org/W2059148040","https://openalex.org/W2079175319","https://openalex.org/W2087070363","https://openalex.org/W2091443853","https://openalex.org/W2094024787","https://openalex.org/W2094038299","https://openalex.org/W2111962436","https://openalex.org/W2112246162","https://openalex.org/W2120470833","https://openalex.org/W2124776405","https://openalex.org/W2127696209","https://openalex.org/W2129834303","https://openalex.org/W2133671888","https://openalex.org/W2150355110","https://openalex.org/W2154233377","https://openalex.org/W2495353234","https://openalex.org/W4232753162"],"related_works":["https://openalex.org/W2619610348","https://openalex.org/W2047591490","https://openalex.org/W3150024457","https://openalex.org/W2520586252","https://openalex.org/W2014195186","https://openalex.org/W2097952083","https://openalex.org/W2587063158","https://openalex.org/W2126834244","https://openalex.org/W2057170391","https://openalex.org/W1975412608"],"abstract_inverted_index":{"Model":[0,40],"Predictive":[1],"Control":[2],"has":[3],"been":[4],"successfully":[5],"applied":[6,24],"in":[7,33,124,152],"the":[8,34,37,133,137,164,176,227,245,262,269],"chemical":[9],"and":[10,17,72,92,117,139,175,204,208,213,290],"petrochemical":[11],"industries":[12],"due":[13],"to":[14,84,119],"its":[15],"intuitiveness":[16],"constraint":[18],"handling":[19],"capabilities.":[20],"However":[21],"most":[22],"currently":[23],"techniques":[25,101],"use":[26,151],"linear":[27],"models":[28,45,185],"that":[29,97,281],"are":[30,109],"valid":[31],"only":[32],"neighborhood":[35],"of":[36,78,112,163,226,254,282],"operating":[38,56,200],"point.":[39],"predictive":[41,81,156,242,259],"control":[42,52,64,82,157,243,260,276],"using":[43,233,244,261],"nonlinear":[44,79,122,154,161,177],"does":[46],"have":[47],"significant":[48],"potential":[49],"for":[50,62,150,285,288],"efficient":[51],"over":[53],"a":[54,125,153,170,196,209],"wide":[55],"range.":[57],"This":[58],"is":[59,66,83,90],"particularly":[60],"important":[61],"distillation":[63,192],"which":[65],"characterized":[67],"by":[68,135],"highly":[69],"nonlinear,":[70],"interactive":[71],"nonstationary":[73],"behavior.":[74],"The":[75,128,159,275],"main":[76],"challenge":[77],"model":[80,147,155,166,225,241,248,258,265],"develop":[85],"accurate":[86],"dynamic":[87,178,189,214,224,252,264],"models.\\n\\nPhenomenological":[88],"modeling":[89,104,130],"difficult,":[91],"computationally":[93],"intensive.":[94],"Hybrid":[95],"models,":[96],"combine":[98],"conventional":[99],"identification":[100,134],"with":[102,186,280],"alternative":[103],"approaches":[105],"like":[106],"neural":[107,172,236],"networks,":[108],"favored":[110],"because":[111],"their":[113],"flexibility,":[114],"computational":[115],"efficiency,":[116],"ability":[118],"learn":[120],"complex":[121],"mappings":[123],"reasonable":[126],"time.":[127],"Hammerstein":[129,146,165,247],"strategy":[131],"simplifies":[132],"separating":[136],"steady-state":[138],"transient":[140],"components.\\n\\nIn":[141],"this":[142],"project,":[143],"an":[144],"extended":[145,246],"was":[148,167,180,238,249,266,278],"developed":[149,221],"framework.":[158],"static":[160],"element":[162,179],"modeled":[168],"as":[169,182],"feed-forward":[171],"network":[173],"model,":[174],"identified":[181],"transfer":[183],"function":[184],"input-dependent":[187],"adaptive":[188],"parameters.":[190],"Two":[191],"columns":[193],"were":[194,216],"modeled:":[195],"propylene-propane":[197],"(C3)":[198],"splitter":[199,229,271],"at":[201,205,230,272],"base":[202,231,273],"case":[203,232],"high":[206],"purity":[207],"toluene-xylene":[210],"column.":[211,256],"Steady-state":[212],"data":[215],"obtained":[217],"from":[218],"rigorous":[219],"simulators":[220],"previously.":[222],"A":[223],"C3":[228,270],"internally":[234],"recurrent":[235,263],"networks":[237],"also":[239],"developed.\\n\\nNonlinear":[240],"tested":[250,267],"on":[251,268],"simulations":[253],"each":[255,286],"Nonlinear":[257],"case.":[274],"performance":[277],"compared":[279],"PI":[283],"controllers":[284],"column":[287],"setpoint":[289],"disturbance":[291],"rejection.":[292]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
