{"id":"https://openalex.org/W4413393754","doi":"https://doi.org/10.23919/acc63710.2025.11107869","title":"Comparison of NLP Solvers and Derivative Accuracy for Solving Multi-Impulse Cislunar Trajectory Optimization Problems","display_name":"Comparison of NLP Solvers and Derivative Accuracy for Solving Multi-Impulse Cislunar Trajectory Optimization Problems","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413393754","doi":"https://doi.org/10.23919/acc63710.2025.11107869"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107869","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5076509762","display_name":"K. Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Koya Yamamoto","raw_affiliation_strings":["Texas A&#x0026;M University"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014636068","display_name":"Ehsan Taheri","orcid":"https://orcid.org/0000-0002-6021-7012"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ehsan Taheri","raw_affiliation_strings":["Auburn University"],"affiliations":[{"raw_affiliation_string":"Auburn University","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046235134","display_name":"John L. Junkins","orcid":"https://orcid.org/0000-0002-8482-4052"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Junkins","raw_affiliation_strings":["Texas A&#x0026;M University"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076509762"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":10.4527,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9772674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3807","last_page":"3812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13855","display_name":"Aerospace Engineering and Control Systems","score":0.9498999714851379,"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/T13855","display_name":"Aerospace Engineering and Control Systems","score":0.9498999714851379,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9193000197410583,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9075000286102295,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/trajectory","display_name":"Trajectory","score":0.6988836526870728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6421515941619873},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6152368187904358},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.5845335721969604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091902613639832},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.45080915093421936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3390945792198181},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06537899374961853}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6988836526870728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421515941619873},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6152368187904358},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.5845335721969604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091902613639832},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.45080915093421936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3390945792198181},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06537899374961853},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107869","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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":19,"referenced_works":["https://openalex.org/W1970101292","https://openalex.org/W1987941491","https://openalex.org/W2004805052","https://openalex.org/W2006962396","https://openalex.org/W2024040438","https://openalex.org/W2056261501","https://openalex.org/W2162218551","https://openalex.org/W2797308572","https://openalex.org/W2891386315","https://openalex.org/W2906531917","https://openalex.org/W2948883340","https://openalex.org/W2995438409","https://openalex.org/W3003717015","https://openalex.org/W3004162504","https://openalex.org/W4293775970","https://openalex.org/W4391512404","https://openalex.org/W4392732462","https://openalex.org/W4392955714","https://openalex.org/W4411834670"],"related_works":["https://openalex.org/W4385832323","https://openalex.org/W4244391535","https://openalex.org/W2356996864","https://openalex.org/W2904060783","https://openalex.org/W2015393961","https://openalex.org/W2378339670","https://openalex.org/W2359353485","https://openalex.org/W2361427670","https://openalex.org/W2139910871","https://openalex.org/W2119925415"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"and":[3,17,56,79,125,140,156],"compares":[4],"the":[5,47,54,60,74,92,95,100,110,117,129,133],"convergence":[6,130,150],"performance":[7,131],"of":[8,53,122,132,138],"two":[9,41],"widely":[10],"used":[11],"Nonlinear":[12],"Programming":[13],"(NLP)":[14],"solvers\u2014MATLAB\u2019s":[15],"fmincon":[16],"IPOPT\u2014":[18],"for":[19,37],"solving":[20],"multi-impulse":[21],"cislunar":[22],"trajectory":[23,35],"optimization":[24,36],"problems.":[25],"The":[26,84,113],"problem":[27],"is":[28],"formulated":[29],"as":[30],"a":[31,38],"minimum-fuel":[32],"(or":[33],"minimum-\u2206v)":[34],"transfer":[39],"between":[40],"Distant":[42],"Retrograde":[43],"Orbits":[44],"(DROs)":[45],"in":[46,120],"circular":[48],"restricted":[49],"three-body":[50],"problem.":[51],"Derivatives":[52],"objective":[55],"constraints,":[57],"required":[58],"by":[59],"solvers,":[61],"are":[62,159],"computed":[63],"using":[64],"three":[65],"methods:":[66],"a)":[67],"solver\u2019s":[68],"built-in":[69],"finite-difference":[70],"(FD)":[71],"method,":[72,78],"b)":[73],"complex-step":[75],"based":[76],"(CX)":[77],"c)":[80],"an":[81],"analytical":[82,89,111,157],"method.":[83],"results":[85],"demonstrate":[86],"that":[87,146],"while":[88],"derivatives":[90,158],"provide":[91],"fastest":[93],"convergence,":[94],"CX":[96,114,155],"method":[97,115,119],"achieves":[98],"nearly":[99],"same":[101],"performance,":[102],"despite":[103],"being":[104],"significantly":[105],"easier":[106],"to":[107,152],"compute":[108],"than":[109],"derivatives.":[112],"outperforms":[116],"FD":[118],"terms":[121],"derivative":[123],"accuracy":[124],"its":[126],"impact":[127],"on":[128],"solvers":[134],"(i.e.,":[135],"total":[136],"number":[137],"iterations":[139],"function":[141],"evaluations).":[142],"Results":[143],"also":[144],"indicate":[145],"IPOPT":[147],"exhibits":[148],"faster":[149],"compared":[151],"fmincon,":[153],"when":[154],"used.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
