{"id":"https://openalex.org/W2979317440","doi":"https://doi.org/10.23919/sice.2019.8859961","title":"Economic Model Predictive Control considering Electric Energy Balance for Exploration Rovers","display_name":"Economic Model Predictive Control considering Electric Energy Balance for Exploration Rovers","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2979317440","doi":"https://doi.org/10.23919/sice.2019.8859961","mag":"2979317440"},"language":"en","primary_location":{"id":"doi:10.23919/sice.2019.8859961","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","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/A5051037987","display_name":"Ryo Nishikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryo Nishikawa","raw_affiliation_strings":["Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003528507","display_name":"Shotaro Nakahara","orcid":null},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Nakahara","raw_affiliation_strings":["Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029672982","display_name":"Naoki Takahashi","orcid":"https://orcid.org/0000-0002-7946-6078"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Takahashi","raw_affiliation_strings":["Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068258996","display_name":"Kenichiro Nonaka","orcid":"https://orcid.org/0000-0003-0532-0495"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenichiro Nonaka","raw_affiliation_strings":["Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065997102","display_name":"Kazuma Sekiguchi","orcid":"https://orcid.org/0000-0001-6502-0617"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuma Sekiguchi","raw_affiliation_strings":["Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mechanical Systems Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051037987"],"corresponding_institution_ids":["https://openalex.org/I185088104"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1339742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2019","issue":null,"first_page":"59","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13200","display_name":"Spacecraft and Cryogenic Technologies","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13200","display_name":"Spacecraft and Cryogenic Technologies","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9873999953269958,"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/T12513","display_name":"Rocket and propulsion systems research","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/model-predictive-control","display_name":"Model predictive control","score":0.6679072976112366},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6358073949813843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5701735615730286},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.5689400434494019},{"id":"https://openalex.org/keywords/power-balance","display_name":"Power Balance","score":0.5639408826828003},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.516605019569397},{"id":"https://openalex.org/keywords/energy-balance","display_name":"Energy balance","score":0.48543983697891235},{"id":"https://openalex.org/keywords/electric-power","display_name":"Electric power","score":0.479554146528244},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45533981919288635},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4299023747444153},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4102799594402313},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.37600448727607727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1790461242198944}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6679072976112366},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6358073949813843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701735615730286},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.5689400434494019},{"id":"https://openalex.org/C2780848588","wikidata":"https://www.wikidata.org/wiki/Q210494","display_name":"Power Balance","level":3,"score":0.5639408826828003},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.516605019569397},{"id":"https://openalex.org/C2777423268","wikidata":"https://www.wikidata.org/wiki/Q3663116","display_name":"Energy balance","level":2,"score":0.48543983697891235},{"id":"https://openalex.org/C40293303","wikidata":"https://www.wikidata.org/wiki/Q27137","display_name":"Electric power","level":3,"score":0.479554146528244},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45533981919288635},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4299023747444153},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4102799594402313},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37600448727607727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1790461242198944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/sice.2019.8859961","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","raw_type":"proceedings-article"},{"id":"mag:3036536626","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902241978657742","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1978405906","https://openalex.org/W2061328016","https://openalex.org/W2133833812","https://openalex.org/W2323467421","https://openalex.org/W2644377607","https://openalex.org/W6739632841"],"related_works":["https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1990079087","https://openalex.org/W1743191351","https://openalex.org/W3104633800","https://openalex.org/W2914059119","https://openalex.org/W3023567978","https://openalex.org/W2355436849","https://openalex.org/W1969911362","https://openalex.org/W2658747627"],"abstract_inverted_index":{"Recently,":[0],"wide-area":[1],"and":[2,72],"long-term":[3],"observation":[4],"of":[5,53,85],"the":[6,49,64,83,86,97,102,112,116,137],"planet":[7],"surface":[8],"using":[9],"unmanned":[10],"exploration":[11,29,54,57,98,113,134],"rovers":[12,18,30,58,135],"have":[13],"been":[14],"actively":[15],"conducted.":[16],"Exploration":[17],"require":[19],"autonomous":[20],"control":[21,62,128],"in":[22,32,92],"a":[23,106],"severe":[24],"environment.":[25],"In":[26,44],"particular,":[27],"since":[28],"operate":[31],"an":[33],"environment":[34],"with":[35],"few":[36],"power":[37,40,70],"sources,":[38],"appropriate":[39],"management":[41],"is":[42,109],"important.":[43],"this":[45],"study,":[46],"we":[47,94,123],"model":[48,78,126],"electric":[50,65,119,130],"energy":[51,66,120,131],"balance":[52,67,71,132],"rovers.":[55],"Then,":[56],"achieve":[59],"trajectory":[60],"tracking":[61,73],"considering":[63,118,129],"by":[68,136],"evaluating":[69],"performance":[74],"based":[75],"on":[76,101],"economic":[77,125],"predictive":[79,127],"control.":[80],"We":[81],"verify":[82],"effectiveness":[84],"proposed":[87,138],"method":[88],"through":[89],"numerical":[90],"simulations":[91],"which":[93],"assume":[95],"that":[96,111],"rover":[99,114],"moves":[100],"lunar":[103],"terrain.":[104],"As":[105],"result,":[107],"it":[108],"shown":[110],"achieves":[115],"behavior":[117],"balance.":[121],"Thus,":[122],"realize":[124],"for":[133],"method.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
