{"id":"https://openalex.org/W2902624920","doi":"https://doi.org/10.23919/ecc.2018.8550545","title":"Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control","display_name":"Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2902624920","doi":"https://doi.org/10.23919/ecc.2018.8550545","mag":"2902624920"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2018.8550545","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2018.8550545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 European Control Conference (ECC)","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/A5067098516","display_name":"Lukas Beckenbach","orcid":"https://orcid.org/0000-0001-8680-3311"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Beckenbach","raw_affiliation_strings":["Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065280230","display_name":"Pavel Osinenko","orcid":"https://orcid.org/0000-0002-6184-3293"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pavel Osinenko","raw_affiliation_strings":["Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073945061","display_name":"Thomas G\u00f6hrt","orcid":"https://orcid.org/0000-0002-9663-9903"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Gohrt","raw_affiliation_strings":["Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050202669","display_name":"Stefan Streif","orcid":"https://orcid.org/0000-0002-3398-1226"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Streif","raw_affiliation_strings":["Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Control and System Dynamics Laboratory, Technische Universit\u00e4t Chemnitz, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2610724"],"apc_list":null,"apc_paid":null,"fwci":0.9529,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73709351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1349","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10675","display_name":"Mechanical Circulatory Support Devices","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.8109372854232788},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.7592897415161133},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7426953315734863},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7381613850593567},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.6790807843208313},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6780684590339661},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6320282220840454},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6238818764686584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5573441982269287},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.445806622505188},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.445634126663208},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38163450360298157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30638641119003296},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.23696860671043396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09911775588989258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07671806216239929}],"concepts":[{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.8109372854232788},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7592897415161133},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7426953315734863},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7381613850593567},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.6790807843208313},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6780684590339661},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6320282220840454},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6238818764686584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5573441982269287},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.445806622505188},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.445634126663208},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38163450360298157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30638641119003296},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.23696860671043396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09911775588989258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07671806216239929},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc.2018.8550545","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2018.8550545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 European Control Conference (ECC)","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":46,"referenced_works":["https://openalex.org/W92805021","https://openalex.org/W173093232","https://openalex.org/W1531349744","https://openalex.org/W1552654126","https://openalex.org/W1576452626","https://openalex.org/W1601081659","https://openalex.org/W1971140944","https://openalex.org/W1978956894","https://openalex.org/W2016095551","https://openalex.org/W2016343476","https://openalex.org/W2019845169","https://openalex.org/W2027968610","https://openalex.org/W2028678875","https://openalex.org/W2029487423","https://openalex.org/W2041185529","https://openalex.org/W2048687352","https://openalex.org/W2058935279","https://openalex.org/W2067705970","https://openalex.org/W2074232820","https://openalex.org/W2090167557","https://openalex.org/W2093831009","https://openalex.org/W2100677568","https://openalex.org/W2102737570","https://openalex.org/W2110703708","https://openalex.org/W2121863487","https://openalex.org/W2139595765","https://openalex.org/W2141249007","https://openalex.org/W2165726932","https://openalex.org/W2341171179","https://openalex.org/W2476930474","https://openalex.org/W2487144912","https://openalex.org/W2765650568","https://openalex.org/W2767143830","https://openalex.org/W2963393268","https://openalex.org/W3011120880","https://openalex.org/W3035578948","https://openalex.org/W3041202696","https://openalex.org/W4211147054","https://openalex.org/W4214717370","https://openalex.org/W4307347247","https://openalex.org/W6603762378","https://openalex.org/W6632104128","https://openalex.org/W6634528131","https://openalex.org/W6745355720","https://openalex.org/W6775686901","https://openalex.org/W6780383567"],"related_works":["https://openalex.org/W4255265352","https://openalex.org/W4239477580","https://openalex.org/W2952594763","https://openalex.org/W2090698372","https://openalex.org/W4383890581","https://openalex.org/W2921905705","https://openalex.org/W2379312070","https://openalex.org/W1932159282","https://openalex.org/W4285537323","https://openalex.org/W4233178034"],"abstract_inverted_index":{"Model":[0],"predictive":[1],"control":[2,102,113],"(MPC)":[3],"is":[4,35,56,162],"in":[5],"many":[6],"applications":[7],"the":[8,38,70,88,97],"de":[9],"facto":[10],"approach":[11,80],"to":[12,69,86,130,151],"optimal":[13,19,44,98],"control.":[14],"It":[15],"typically":[16,62],"provides":[17],"an":[18,47,79],"input":[20,156],"(sequence)":[21],"for":[22,96],"a":[23,105,118,137,165],"finite-horizon":[24],"of":[25,50,73,90,107,121,139],"given":[26],"running":[27,51],"costs.":[28,52],"Another":[29],"approach,":[30],"called":[31,109],"dynamic":[32,76],"programming":[33,77],"(DP),":[34],"based":[36,81],"on":[37,82],"Hamilton-Jacobi-Bellman":[39],"formalism":[40],"and":[41,61,101,134,141,153,155],"usually":[42],"seeks":[43,85],"inputs":[45],"over":[46,117],"infinite":[48],"horizon":[49],"Unlike":[53],"MPC,":[54],"DP":[55,91],"much":[57],"less":[58],"computationally":[59],"tractable":[60],"requires":[63],"state":[64,154],"space":[65],"discretization":[66],"which":[67],"leads":[68],"so-called":[71],"curse":[72],"dimensionality.":[74],"Adaptive":[75],"(ADP),":[78],"reinforcement":[83],"learning,":[84],"address":[87],"difficulties":[89],"by":[92,164],"introducing":[93],"approximation":[94],"models":[95],"cost":[99],"function":[100,123],"policies.":[103],"In":[104],"variant":[106,138],"ADP":[108,111,140,152],"stacked":[110],"(sADP),":[112],"policies":[114],"are":[115,143,149,158],"optimized":[116],"finite":[119],"stack":[120],"value":[122],"approximants,":[124],"thus":[125],"making":[126],"it":[127],"somewhat":[128],"similar":[129],"MPC.":[131],"First,":[132],"similarities":[133],"differences":[135],"between":[136],"MPC":[142,146],"discussed.":[144],"Second,":[145],"stability":[147],"results":[148],"transferred":[150],"constraints":[157],"considered.":[159],"The":[160],"work":[161],"concluded":[163],"case":[166],"study.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
