Distributed Matrix Pencil Formulations for Prescribed-Time Leader-Following Consensus of MASs with Unknown Sensor Sensitivity Article Swipe
Hefu Ye
,
Changyun Wen
,
Yongduan Song
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.16412
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.16412
In this paper, we address the problem of prescribed-time leader-following consensus of heterogeneous multi-agent systems (MASs) in the presence of unknown sensor sensitivity. Under a connected undirected topology, we propose a time-varying dual observer/controller design framework that makes use of regular local and inaccurate feedback to achieve consensus tracking within a prescribed time. In particular, the developed analysis framework is applicable to MASs equipped with sensors of different sensitivities. One of the design innovations involves constructing a distributed matrix pencil formulation based on worst-case sensors, yielding control parameters with sufficient robustness yet relatively low conservatism. Another novelty is the construction of the control gains, which consists of the product of a proportional coefficient obtained from the matrix pencil formulation and a classic time-varying function that grows to infinity or a novel bounded time-varying function. Furthermore, it is possible to extend the prescribed-time distributed protocol to infinite time domain by introducing the bounded time-varying gain technique without sacrificing the ultimate control accuracy, and the corresponding technical proof is comprehensive. The effectiveness of the method is demonstrated through a group of 5 single-link robot manipulators.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2404.16412
- https://arxiv.org/pdf/2404.16412
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395686898
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4395686898Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2404.16412Digital Object Identifier
- Title
-
Distributed Matrix Pencil Formulations for Prescribed-Time Leader-Following Consensus of MASs with Unknown Sensor SensitivityWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-25Full publication date if available
- Authors
-
Hefu Ye, Changyun Wen, Yongduan SongList of authors in order
- Landing page
-
https://arxiv.org/abs/2404.16412Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2404.16412Direct 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/2404.16412Direct OA link when available
- Concepts
-
Pencil (optics), Matrix (chemical analysis), Sensitivity (control systems), Mathematics, Computer science, Physics, Engineering, Optics, Chemistry, Chromatography, Electronic engineeringTop 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/W4395686898 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2404.16412 |
| ids.doi | https://doi.org/10.48550/arxiv.2404.16412 |
| ids.openalex | https://openalex.org/W4395686898 |
| fwci | |
| type | preprint |
| title | Distributed Matrix Pencil Formulations for Prescribed-Time Leader-Following Consensus of MASs with Unknown Sensor Sensitivity |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10249 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.883400022983551 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | Distributed Control Multi-Agent Systems |
| topics[1].id | https://openalex.org/T10046 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.871999979019165 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2207 |
| topics[1].subfield.display_name | Control and Systems Engineering |
| topics[1].display_name | Stability and Control of Uncertain Systems |
| topics[2].id | https://openalex.org/T10791 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.8499000072479248 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2207 |
| topics[2].subfield.display_name | Control and Systems Engineering |
| topics[2].display_name | Advanced Control Systems Optimization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C134949993 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7519606351852417 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2068617 |
| concepts[0].display_name | Pencil (optics) |
| concepts[1].id | https://openalex.org/C106487976 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5195111036300659 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q685816 |
| concepts[1].display_name | Matrix (chemical analysis) |
| concepts[2].id | https://openalex.org/C21200559 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4891243577003479 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7451068 |
| concepts[2].display_name | Sensitivity (control systems) |
| concepts[3].id | https://openalex.org/C33923547 |
| concepts[3].level | 0 |
| concepts[3].score | 0.40350350737571716 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[3].display_name | Mathematics |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.33564937114715576 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C121332964 |
| concepts[5].level | 0 |
| concepts[5].score | 0.20123407244682312 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[5].display_name | Physics |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.16678592562675476 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C120665830 |
| concepts[7].level | 1 |
| concepts[7].score | 0.06358015537261963 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[7].display_name | Optics |
| concepts[8].id | https://openalex.org/C185592680 |
| concepts[8].level | 0 |
| concepts[8].score | 0.062330543994903564 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[8].display_name | Chemistry |
| concepts[9].id | https://openalex.org/C43617362 |
| concepts[9].level | 1 |
| concepts[9].score | 0.058432698249816895 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[9].display_name | Chromatography |
| concepts[10].id | https://openalex.org/C24326235 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[10].display_name | Electronic engineering |
| keywords[0].id | https://openalex.org/keywords/pencil |
| keywords[0].score | 0.7519606351852417 |
| keywords[0].display_name | Pencil (optics) |
| keywords[1].id | https://openalex.org/keywords/matrix |
| keywords[1].score | 0.5195111036300659 |
| keywords[1].display_name | Matrix (chemical analysis) |
| keywords[2].id | https://openalex.org/keywords/sensitivity |
| keywords[2].score | 0.4891243577003479 |
| keywords[2].display_name | Sensitivity (control systems) |
| keywords[3].id | https://openalex.org/keywords/mathematics |
| keywords[3].score | 0.40350350737571716 |
| keywords[3].display_name | Mathematics |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.33564937114715576 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/physics |
| keywords[5].score | 0.20123407244682312 |
| keywords[5].display_name | Physics |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.16678592562675476 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/optics |
| keywords[7].score | 0.06358015537261963 |
| keywords[7].display_name | Optics |
| keywords[8].id | https://openalex.org/keywords/chemistry |
| keywords[8].score | 0.062330543994903564 |
| keywords[8].display_name | Chemistry |
| keywords[9].id | https://openalex.org/keywords/chromatography |
| keywords[9].score | 0.058432698249816895 |
| keywords[9].display_name | Chromatography |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2404.16412 |
| 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/2404.16412 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| 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/2404.16412 |
| locations[1].id | doi:10.48550/arxiv.2404.16412 |
| 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 | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| 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.2404.16412 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5101889982 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5927-9574 |
| authorships[0].author.display_name | Hefu Ye |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ye, Hefu |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5100344158 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9530-360X |
| authorships[1].author.display_name | Changyun Wen |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wen, Changyun |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5035337020 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2167-1861 |
| authorships[2].author.display_name | Yongduan Song |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Song, Yongduan |
| authorships[2].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/2404.16412 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2024-04-27T00:00:00 |
| display_name | Distributed Matrix Pencil Formulations for Prescribed-Time Leader-Following Consensus of MASs with Unknown Sensor Sensitivity |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10249 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.883400022983551 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | Distributed Control Multi-Agent Systems |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W4391375266, https://openalex.org/W3196517001, https://openalex.org/W2352678454, https://openalex.org/W1979597421, https://openalex.org/W2007980826, https://openalex.org/W2949824776, https://openalex.org/W2061531152, https://openalex.org/W3002753104, https://openalex.org/W2122589520 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2404.16412 |
| 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/2404.16412 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| 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/2404.16412 |
| primary_location.id | pmh:oai:arXiv.org:2404.16412 |
| 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/2404.16412 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| 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/2404.16412 |
| publication_date | 2024-04-25 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.5 | 179 |
| abstract_inverted_index.a | 24, 30, 50, 76, 110, 120, 129, 176 |
| abstract_inverted_index.In | 0, 53 |
| abstract_inverted_index.by | 148 |
| abstract_inverted_index.in | 16 |
| abstract_inverted_index.is | 59, 97, 136, 166, 173 |
| abstract_inverted_index.it | 135 |
| abstract_inverted_index.of | 7, 11, 19, 39, 66, 70, 100, 106, 109, 170, 178 |
| abstract_inverted_index.on | 82 |
| abstract_inverted_index.or | 128 |
| abstract_inverted_index.to | 45, 61, 126, 138, 144 |
| abstract_inverted_index.we | 3, 28 |
| abstract_inverted_index.One | 69 |
| abstract_inverted_index.The | 168 |
| abstract_inverted_index.and | 42, 119, 161 |
| abstract_inverted_index.low | 93 |
| abstract_inverted_index.the | 5, 17, 55, 71, 98, 101, 107, 115, 140, 150, 157, 162, 171 |
| abstract_inverted_index.use | 38 |
| abstract_inverted_index.yet | 91 |
| abstract_inverted_index.MASs | 62 |
| abstract_inverted_index.dual | 32 |
| abstract_inverted_index.from | 114 |
| abstract_inverted_index.gain | 153 |
| abstract_inverted_index.that | 36, 124 |
| abstract_inverted_index.this | 1 |
| abstract_inverted_index.time | 146 |
| abstract_inverted_index.with | 64, 88 |
| abstract_inverted_index.Under | 23 |
| abstract_inverted_index.based | 81 |
| abstract_inverted_index.group | 177 |
| abstract_inverted_index.grows | 125 |
| abstract_inverted_index.local | 41 |
| abstract_inverted_index.makes | 37 |
| abstract_inverted_index.novel | 130 |
| abstract_inverted_index.proof | 165 |
| abstract_inverted_index.robot | 181 |
| abstract_inverted_index.time. | 52 |
| abstract_inverted_index.which | 104 |
| abstract_inverted_index.(MASs) | 15 |
| abstract_inverted_index.design | 34, 72 |
| abstract_inverted_index.domain | 147 |
| abstract_inverted_index.extend | 139 |
| abstract_inverted_index.gains, | 103 |
| abstract_inverted_index.matrix | 78, 116 |
| abstract_inverted_index.method | 172 |
| abstract_inverted_index.paper, | 2 |
| abstract_inverted_index.pencil | 79, 117 |
| abstract_inverted_index.sensor | 21 |
| abstract_inverted_index.within | 49 |
| abstract_inverted_index.Another | 95 |
| abstract_inverted_index.achieve | 46 |
| abstract_inverted_index.address | 4 |
| abstract_inverted_index.bounded | 131, 151 |
| abstract_inverted_index.classic | 121 |
| abstract_inverted_index.control | 86, 102, 159 |
| abstract_inverted_index.novelty | 96 |
| abstract_inverted_index.problem | 6 |
| abstract_inverted_index.product | 108 |
| abstract_inverted_index.propose | 29 |
| abstract_inverted_index.regular | 40 |
| abstract_inverted_index.sensors | 65 |
| abstract_inverted_index.systems | 14 |
| abstract_inverted_index.through | 175 |
| abstract_inverted_index.unknown | 20 |
| abstract_inverted_index.without | 155 |
| abstract_inverted_index.analysis | 57 |
| abstract_inverted_index.consists | 105 |
| abstract_inverted_index.equipped | 63 |
| abstract_inverted_index.feedback | 44 |
| abstract_inverted_index.function | 123 |
| abstract_inverted_index.infinite | 145 |
| abstract_inverted_index.infinity | 127 |
| abstract_inverted_index.involves | 74 |
| abstract_inverted_index.obtained | 113 |
| abstract_inverted_index.possible | 137 |
| abstract_inverted_index.presence | 18 |
| abstract_inverted_index.protocol | 143 |
| abstract_inverted_index.sensors, | 84 |
| abstract_inverted_index.tracking | 48 |
| abstract_inverted_index.ultimate | 158 |
| abstract_inverted_index.yielding | 85 |
| abstract_inverted_index.accuracy, | 160 |
| abstract_inverted_index.connected | 25 |
| abstract_inverted_index.consensus | 10, 47 |
| abstract_inverted_index.developed | 56 |
| abstract_inverted_index.different | 67 |
| abstract_inverted_index.framework | 35, 58 |
| abstract_inverted_index.function. | 133 |
| abstract_inverted_index.technical | 164 |
| abstract_inverted_index.technique | 154 |
| abstract_inverted_index.topology, | 27 |
| abstract_inverted_index.applicable | 60 |
| abstract_inverted_index.inaccurate | 43 |
| abstract_inverted_index.parameters | 87 |
| abstract_inverted_index.prescribed | 51 |
| abstract_inverted_index.relatively | 92 |
| abstract_inverted_index.robustness | 90 |
| abstract_inverted_index.sufficient | 89 |
| abstract_inverted_index.undirected | 26 |
| abstract_inverted_index.worst-case | 83 |
| abstract_inverted_index.coefficient | 112 |
| abstract_inverted_index.distributed | 77, 142 |
| abstract_inverted_index.formulation | 80, 118 |
| abstract_inverted_index.innovations | 73 |
| abstract_inverted_index.introducing | 149 |
| abstract_inverted_index.multi-agent | 13 |
| abstract_inverted_index.particular, | 54 |
| abstract_inverted_index.sacrificing | 156 |
| abstract_inverted_index.single-link | 180 |
| abstract_inverted_index.Furthermore, | 134 |
| abstract_inverted_index.constructing | 75 |
| abstract_inverted_index.construction | 99 |
| abstract_inverted_index.demonstrated | 174 |
| abstract_inverted_index.proportional | 111 |
| abstract_inverted_index.sensitivity. | 22 |
| abstract_inverted_index.time-varying | 31, 122, 132, 152 |
| abstract_inverted_index.conservatism. | 94 |
| abstract_inverted_index.corresponding | 163 |
| abstract_inverted_index.effectiveness | 169 |
| abstract_inverted_index.heterogeneous | 12 |
| abstract_inverted_index.manipulators. | 182 |
| abstract_inverted_index.comprehensive. | 167 |
| abstract_inverted_index.sensitivities. | 68 |
| abstract_inverted_index.prescribed-time | 8, 141 |
| abstract_inverted_index.leader-following | 9 |
| abstract_inverted_index.observer/controller | 33 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |