Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks

Gianni Pasolini; Davide Dardari; Michel Kieffer

doi:10.1109/TSIPN.2020.3002613

Journal Articles IEEE Transactions on Signal and Information Processing over Networks Year : 2020

Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks

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1

Gianni Pasolini

Function : Author

Davide Dardari

Function : Author

Michel Kieffer

Function : Author
PersonId : 14894
IdHAL : michel-kieffer
ORCID : 0000-0002-1049-3123
IdRef : 088689549

Laboratoire des signaux et systèmes

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Signal and Image Processing Networking and Internet Architecture [cs.NI] Multimedia [cs.MM]

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SIPN-00548-2019.pdf (693.53 Ko)

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Submitted on : Tuesday, January 5, 2021-11:44:26 AM

Last modification on : Friday, March 24, 2023-2:53:20 PM

Long-term archiving on: Wednesday, April 7, 2021-9:27:09 AM

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hal-03097195 , version 1 (05-01-2021)

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HAL Id : hal-03097195 , version 1
DOI : 10.1109/TSIPN.2020.3002613

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Gianni Pasolini, Davide Dardari, Michel Kieffer. Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks. IEEE Transactions on Signal and Information Processing over Networks, 2020, 6, pp.479-490. ⟨10.1109/TSIPN.2020.3002613⟩. ⟨hal-03097195⟩

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Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks

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