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Quantized consensus of finite-level multi-agent networked systems

International Journal of Advances in Applied Sciences · Vol. 13 No. 1 (2024) · hlm. 148–159

DOI
10.11591/ijaas.v13.i1.pp148-159
ISSN
2722-2594, 2252-8814
Terbit
2024-03-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In this paper, analysis of a quantized consensus finite-level multi-agent networked system is considered. Logarithmic quantizer is utilized for the transmission of the state of the networked agents. Two protocols employed in the investigation are, the consensus protocol which is determined from the outputs and states of a set of encoder-decoder pair, and the convergence rate protocol that is precisely characterized using a dynamic scaling factor. The asymptotic consensus can be reached through information exchange among neighbour agents. Validity of the protocols for the connected network system is established through careful selection of parameters of the quantizer. A four-agent networked system is used to illustrate the implementation of the protocols. Obtained result showed that information exchange in an undirected networked system is achievable through a communication channel equipped with encoder and decoder pairs. More so, the desired asymptotic convergence is achievable through careful choice of the parameters of the quantizer.

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  • Covenant University
  • Federal University of Agriculture, Abeokuta
  • Nigerian Defence Academy
  • University of Delta Agbor
  • Abiola Ajimobi Technical University Ibadan
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Rekan penulisOrganisasiArtikel bersama
Hope Evwieroghene OrovwodeCovenant University2
Isaiah Adediji AdejumobiAfiliasi tidak diketahui2
Ayoade Felix AgbetuyiCovenant University1
Abdulkareem AdemolaCovenant University1
Oladipupo Oluwafemi K.Covenant University1
Agbetuyi Oluranti A.Afiliasi tidak diketahui1
Aderemi A. A. AtayeroCovenant University1
Obinna OkoyeigboCovenant University1
Uyi Aiyudubie SamsonCovenant University1
Anabi Hilary KelechiCovenant University1
Alex AligbeCovenant University1
Oluwaseun Ibrahim AdebisiFederal University of Agriculture, Abeokuta1
Azeez Aderibigbe AbdulsalamAfiliasi tidak diketahui1
Elizabeth AmutaCovenant University1
Abel Ehimen AirobomanNigerian Defence Academy1
Joseph Anirejuoritse MeneUniversity of Delta Agbor1
Gabriel Oluwatobi SobolaCovenant University1
Daniel OnyemaCovenant University1
Abolaji Okikiade IloriAbiola Ajimobi Technical University Ibadan1
Tolulope Christianah ErinoshoAfiliasi tidak diketahui1
Gboyega Augustine AdebayoAfiliasi tidak diketahui1
Olumayowa Ayodeji IdowuAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijaas.iaescore.com/index.php/IJAAS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Quantized consensus of finite-level multi-agent networked systems</dc:title>
	<dc:creator>Nuga, Olubusola Olufunke</dc:creator>
	<dc:creator>Amusa, Kamoli Akinwale</dc:creator>
	<dc:creator>Olanipekun, Ayorinde Joseph</dc:creator>
	<dc:creator>Matthew, Simeon</dc:creator>
	<dc:description xml:lang="en-US">In this paper, analysis of a quantized consensus finite-level multi-agent networked system is considered. Logarithmic quantizer is utilized for the transmission of the state of the networked agents. Two protocols employed in the investigation are, the consensus protocol which is determined from the outputs and states of a set of encoder-decoder pair, and the convergence rate protocol that is precisely characterized using a dynamic scaling factor. The asymptotic consensus can be reached through information exchange among neighbour agents. Validity of the protocols for the connected network system is established through careful selection of parameters of the quantizer. A four-agent networked system is used to illustrate the implementation of the protocols. Obtained result showed that information exchange in an undirected networked system is achievable through a communication channel equipped with encoder and decoder pairs. More so, the desired asymptotic convergence is achievable through careful choice of the parameters of the quantizer.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/20910</dc:identifier>
	<dc:identifier>10.11591/ijaas.v13.i1.pp148-159</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 13, No 1: March 2024; 148-159</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v13.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/20910/13089</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science (IAES)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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