Time-Triggered Reduced Desensitization Formulation For Solving Optimal Control Problems Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.03884
Fuel-optimal trajectories are inherently sensitive to variations in model parameters, such as propulsion system thrust magnitude. This inherent sensitivity can lead to dispersions in cost-functional values, when model parameters have uncertainties. Desensitized optimal control aims at generating robust optimal solutions while taking into account uncertainties in the model parameters. While desensitization techniques typically apply along the entire flight time, this paper introduces a novel time-triggered desensitization mechanism by modifying a recently developed desensitization method -- the Reduced Desensitization Formulation (RDF). By selectively desensitizing over specific time intervals of trajectories, we demonstrate the improved optimality of desensitized trajectories. We investigate the effects of temporal desensitization on the final cost and trajectory by considering thrust magnitude uncertainty for two classes of low-thrust trajectory optimization problems: 1) minimum-fuel rendezvous maneuvers and 2) orbit-raising maneuvers. Results show that temporal desensitization can achieve similar dispersion levels to full mission desensitization with an improved final cost functional.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.03884
- https://arxiv.org/pdf/2409.03884
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403586004
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4403586004Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2409.03884Digital Object Identifier
- Title
-
Time-Triggered Reduced Desensitization Formulation For Solving Optimal Control ProblemsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-05Full publication date if available
- Authors
-
Praveen Jawaharlal Ayyanathan, Ehsan TaheriList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.03884Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2409.03884Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2409.03884Direct OA link when available
- Concepts
-
Desensitization (medicine), Control (management), Optimal control, Computer science, Mathematical optimization, Control theory (sociology), Mathematics, Medicine, Artificial intelligence, Internal medicine, ReceptorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4403586004 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2409.03884 |
| ids.doi | https://doi.org/10.48550/arxiv.2409.03884 |
| ids.openalex | https://openalex.org/W4403586004 |
| fwci | |
| type | preprint |
| title | Time-Triggered Reduced Desensitization Formulation For Solving Optimal Control Problems |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13855 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9132000207901001 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2202 |
| topics[0].subfield.display_name | Aerospace Engineering |
| topics[0].display_name | Aerospace Engineering and Control Systems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2779779143 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7474769949913025 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3493547 |
| concepts[0].display_name | Desensitization (medicine) |
| concepts[1].id | https://openalex.org/C2775924081 |
| concepts[1].level | 2 |
| concepts[1].score | 0.46238580346107483 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[1].display_name | Control (management) |
| concepts[2].id | https://openalex.org/C91575142 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4472721517086029 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1971426 |
| concepts[2].display_name | Optimal control |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.4235588610172272 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C126255220 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3828548192977905 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[4].display_name | Mathematical optimization |
| concepts[5].id | https://openalex.org/C47446073 |
| concepts[5].level | 3 |
| concepts[5].score | 0.356003999710083 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5165890 |
| concepts[5].display_name | Control theory (sociology) |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.3136601448059082 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| concepts[7].id | https://openalex.org/C71924100 |
| concepts[7].level | 0 |
| concepts[7].score | 0.17415431141853333 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[7].display_name | Medicine |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.07274690270423889 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C126322002 |
| concepts[9].level | 1 |
| concepts[9].score | 0.05288136005401611 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[9].display_name | Internal medicine |
| concepts[10].id | https://openalex.org/C170493617 |
| concepts[10].level | 2 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q208467 |
| concepts[10].display_name | Receptor |
| keywords[0].id | https://openalex.org/keywords/desensitization |
| keywords[0].score | 0.7474769949913025 |
| keywords[0].display_name | Desensitization (medicine) |
| keywords[1].id | https://openalex.org/keywords/control |
| keywords[1].score | 0.46238580346107483 |
| keywords[1].display_name | Control (management) |
| keywords[2].id | https://openalex.org/keywords/optimal-control |
| keywords[2].score | 0.4472721517086029 |
| keywords[2].display_name | Optimal control |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.4235588610172272 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[4].score | 0.3828548192977905 |
| keywords[4].display_name | Mathematical optimization |
| keywords[5].id | https://openalex.org/keywords/control-theory |
| keywords[5].score | 0.356003999710083 |
| keywords[5].display_name | Control theory (sociology) |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.3136601448059082 |
| keywords[6].display_name | Mathematics |
| keywords[7].id | https://openalex.org/keywords/medicine |
| keywords[7].score | 0.17415431141853333 |
| keywords[7].display_name | Medicine |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.07274690270423889 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/internal-medicine |
| keywords[9].score | 0.05288136005401611 |
| keywords[9].display_name | Internal medicine |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2409.03884 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2409.03884 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2409.03884 |
| locations[1].id | doi:10.48550/arxiv.2409.03884 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2409.03884 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5057807260 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5257-3949 |
| authorships[0].author.display_name | Praveen Jawaharlal Ayyanathan |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ayyanathan, Praveen Jawaharlal |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5014636068 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6021-7012 |
| authorships[1].author.display_name | Ehsan Taheri |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Taheri, Ehsan |
| authorships[1].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2409.03884 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Time-Triggered Reduced Desensitization Formulation For Solving Optimal Control Problems |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T13855 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9132000207901001 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2202 |
| primary_topic.subfield.display_name | Aerospace Engineering |
| primary_topic.display_name | Aerospace Engineering and Control Systems |
| related_works | https://openalex.org/W2065141443, https://openalex.org/W4385706107, https://openalex.org/W1978441684, https://openalex.org/W2125584695, https://openalex.org/W3165252389, https://openalex.org/W1970605048, https://openalex.org/W204818249, https://openalex.org/W2003844836, https://openalex.org/W3022970838, https://openalex.org/W2086351220 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2409.03884 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2409.03884 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2409.03884 |
| primary_location.id | pmh:oai:arXiv.org:2409.03884 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2409.03884 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2409.03884 |
| publication_date | 2024-09-05 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 62, 69 |
| abstract_inverted_index.-- | 74 |
| abstract_inverted_index.1) | 123 |
| abstract_inverted_index.2) | 128 |
| abstract_inverted_index.By | 80 |
| abstract_inverted_index.We | 97 |
| abstract_inverted_index.an | 146 |
| abstract_inverted_index.as | 11 |
| abstract_inverted_index.at | 35 |
| abstract_inverted_index.by | 67, 110 |
| abstract_inverted_index.in | 7, 23, 45 |
| abstract_inverted_index.of | 87, 94, 101, 118 |
| abstract_inverted_index.on | 104 |
| abstract_inverted_index.to | 5, 21, 141 |
| abstract_inverted_index.we | 89 |
| abstract_inverted_index.and | 108, 127 |
| abstract_inverted_index.are | 2 |
| abstract_inverted_index.can | 19, 136 |
| abstract_inverted_index.for | 115 |
| abstract_inverted_index.the | 46, 55, 75, 91, 99, 105 |
| abstract_inverted_index.two | 116 |
| abstract_inverted_index.This | 16 |
| abstract_inverted_index.aims | 34 |
| abstract_inverted_index.cost | 107, 149 |
| abstract_inverted_index.full | 142 |
| abstract_inverted_index.have | 29 |
| abstract_inverted_index.into | 42 |
| abstract_inverted_index.lead | 20 |
| abstract_inverted_index.over | 83 |
| abstract_inverted_index.show | 132 |
| abstract_inverted_index.such | 10 |
| abstract_inverted_index.that | 133 |
| abstract_inverted_index.this | 59 |
| abstract_inverted_index.time | 85 |
| abstract_inverted_index.when | 26 |
| abstract_inverted_index.with | 145 |
| abstract_inverted_index.While | 49 |
| abstract_inverted_index.along | 54 |
| abstract_inverted_index.apply | 53 |
| abstract_inverted_index.final | 106, 148 |
| abstract_inverted_index.model | 8, 27, 47 |
| abstract_inverted_index.novel | 63 |
| abstract_inverted_index.paper | 60 |
| abstract_inverted_index.time, | 58 |
| abstract_inverted_index.while | 40 |
| abstract_inverted_index.(RDF). | 79 |
| abstract_inverted_index.entire | 56 |
| abstract_inverted_index.flight | 57 |
| abstract_inverted_index.levels | 140 |
| abstract_inverted_index.method | 73 |
| abstract_inverted_index.robust | 37 |
| abstract_inverted_index.system | 13 |
| abstract_inverted_index.taking | 41 |
| abstract_inverted_index.thrust | 14, 112 |
| abstract_inverted_index.Reduced | 76 |
| abstract_inverted_index.Results | 131 |
| abstract_inverted_index.account | 43 |
| abstract_inverted_index.achieve | 137 |
| abstract_inverted_index.classes | 117 |
| abstract_inverted_index.control | 33 |
| abstract_inverted_index.effects | 100 |
| abstract_inverted_index.mission | 143 |
| abstract_inverted_index.optimal | 32, 38 |
| abstract_inverted_index.similar | 138 |
| abstract_inverted_index.values, | 25 |
| abstract_inverted_index.improved | 92, 147 |
| abstract_inverted_index.inherent | 17 |
| abstract_inverted_index.recently | 70 |
| abstract_inverted_index.specific | 84 |
| abstract_inverted_index.temporal | 102, 134 |
| abstract_inverted_index.developed | 71 |
| abstract_inverted_index.intervals | 86 |
| abstract_inverted_index.magnitude | 113 |
| abstract_inverted_index.maneuvers | 126 |
| abstract_inverted_index.mechanism | 66 |
| abstract_inverted_index.modifying | 68 |
| abstract_inverted_index.problems: | 122 |
| abstract_inverted_index.sensitive | 4 |
| abstract_inverted_index.solutions | 39 |
| abstract_inverted_index.typically | 52 |
| abstract_inverted_index.dispersion | 139 |
| abstract_inverted_index.generating | 36 |
| abstract_inverted_index.inherently | 3 |
| abstract_inverted_index.introduces | 61 |
| abstract_inverted_index.low-thrust | 119 |
| abstract_inverted_index.magnitude. | 15 |
| abstract_inverted_index.maneuvers. | 130 |
| abstract_inverted_index.optimality | 93 |
| abstract_inverted_index.parameters | 28 |
| abstract_inverted_index.propulsion | 12 |
| abstract_inverted_index.rendezvous | 125 |
| abstract_inverted_index.techniques | 51 |
| abstract_inverted_index.trajectory | 109, 120 |
| abstract_inverted_index.variations | 6 |
| abstract_inverted_index.Formulation | 78 |
| abstract_inverted_index.considering | 111 |
| abstract_inverted_index.demonstrate | 90 |
| abstract_inverted_index.dispersions | 22 |
| abstract_inverted_index.functional. | 150 |
| abstract_inverted_index.investigate | 98 |
| abstract_inverted_index.parameters, | 9 |
| abstract_inverted_index.parameters. | 48 |
| abstract_inverted_index.selectively | 81 |
| abstract_inverted_index.sensitivity | 18 |
| abstract_inverted_index.uncertainty | 114 |
| abstract_inverted_index.Desensitized | 31 |
| abstract_inverted_index.Fuel-optimal | 0 |
| abstract_inverted_index.desensitized | 95 |
| abstract_inverted_index.minimum-fuel | 124 |
| abstract_inverted_index.optimization | 121 |
| abstract_inverted_index.trajectories | 1 |
| abstract_inverted_index.desensitizing | 82 |
| abstract_inverted_index.orbit-raising | 129 |
| abstract_inverted_index.trajectories, | 88 |
| abstract_inverted_index.trajectories. | 96 |
| abstract_inverted_index.uncertainties | 44 |
| abstract_inverted_index.time-triggered | 64 |
| abstract_inverted_index.uncertainties. | 30 |
| abstract_inverted_index.Desensitization | 77 |
| abstract_inverted_index.cost-functional | 24 |
| abstract_inverted_index.desensitization | 50, 65, 72, 103, 135, 144 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |