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NEURAL-NETWORK ADAPTIVE DECENTRALIZED FORMATION CONTROL
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ludena Cervantes, T.J. | - |
| dc.contributor.author | Kim, Yoonsoo | - |
| dc.contributor.author | Kim, Byoung S. | - |
| dc.date.accessioned | 2023-05-31T06:41:06Z | - |
| dc.date.available | 2023-05-31T06:41:06Z | - |
| dc.date.issued | 2022-09 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/59547 | - |
| dc.description.abstract | In this work, an adaptive decentralized formation control is proposed to cancel the effect of time-varying disturbances that enter the control input. A neural-network adaptive element is added to the input of the collective dynamics, maintaining the original structure of the decentralized formation control. In this way, the formation is controlled linearly, and the adaptive element provides disturbance rejection capabilities. © (2022) by International Council of Aeronautical Sciences (ICAS) All rights reserved. | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | International Council of the Aeronautical Sciences | - |
| dc.title | NEURAL-NETWORK ADAPTIVE DECENTRALIZED FORMATION CONTROL | - |
| dc.type | Article | - |
| dc.identifier.scopusid | 2-s2.0-85159583163 | - |
| dc.identifier.bibliographicCitation | 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, v.7, pp 5251 - 5262 | - |
| dc.citation.title | 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022 | - |
| dc.citation.volume | 7 | - |
| dc.citation.startPage | 5251 | - |
| dc.citation.endPage | 5262 | - |
| dc.type.docType | Conference paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordAuthor | adaptive control | - |
| dc.subject.keywordAuthor | decentralized formation control | - |
| dc.subject.keywordAuthor | Neural-networks | - |
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