Practical Consensus of Homogeneous Sampled-Data Multiagent Systems

Autor: Emmanuel Bernuau, Emmanuel Moulay, Fayrouz Isfoula, Patrick Coirault
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:
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