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Title: Leader-following consensus for fractional multi-agent systems
Author: Almeida, Ricardo
Girejko, Ewa
Hristova, Snezhana
Malinowska, Agnieszka B.
Keywords: Multi-agent networks
Nonlinear fractional neural systems
Lyapunov function
Issue Date: 24-Jul-2019
Publisher: SpringerOpen
Abstract: A leader-following consensus for Caputo fractional multi-agent systems with nonlinear intrinsic dynamics is investigated. The second Lyapunov method is used to design a control protocol ensuring a consensus for two types of multi-agent systems. Contrary to the previous studies on leader-following consensus, the investigation covers systems with bounded and unbounded time-dependent Lipschitz coefficients in the intrinsic dynamics. Moreover, coupling strength describing the interactions between agents is considered to be a function of time.
Peer review: yes
DOI: 10.1186/s13662-019-2235-9
ISSN: 1687-1839
Publisher Version:
Appears in Collections:CIDMA - Artigos
SCG - Artigos

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