Practical Consensus of Homogeneous Sampled-Data Multiagent Systems
Autor: | Emmanuel Bernuau, Emmanuel Moulay, Fayrouz Isfoula, Patrick Coirault |
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Přispěvatelé: | Ingénierie, Procédés, Aliments (GENIAL), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Systèmes et Réseaux Intelligents (XLIM-SRI), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique et d'Automatique pour les Systèmes (LIAS), Université de Poitiers-ENSMA |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Emulation Mathematical optimization sampled-data systems Computer science Homogeneity (statistics) Multi-agent system Multi-agent systems Sampling (statistics) Graph theory 02 engineering and technology homogeneous systems Computer Science Applications Nonlinear system 020901 industrial engineering & automation Exponential stability Control and Systems Engineering Homogeneous [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] practical consensus [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering Electrical and Electronic Engineering |
Zdroj: | IEEE Transactions on Automatic Control IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2019, 64 (11), pp.4691-4697. ⟨10.1109/TAC.2019.2904442⟩ |
ISSN: | 0018-9286 |
DOI: | 10.1109/TAC.2019.2904442⟩ |
Popis: | International audience; The aim of this paper is to study the second-order practical consensus of homogeneous sampled-data multiagent systems (MASs). To do this, a new nonlinear emulation strategy based on homogeneity is developed. It is then applied to MASs under synchronously variable sampling. Finally, a comparison with the classical linear strategy is provided in the case of MASs under synchronously periodic sampling. |
Databáze: | OpenAIRE |
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