DocumentCode
183530
Title
LMI sufficient conditions for the consensus of linear agents with nearly-periodic resets
Author
Bragagnolo, Marcos Cesar ; Morarescu, Irinel-Constantin ; Daafouz, J. ; Riedinger, Pierre
Author_Institution
CRAN, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
fYear
2014
fDate
4-6 June 2014
Firstpage
2575
Lastpage
2580
Abstract
The paper focuses on the problem of consensus in the framework of hybrid systems. We consider networks of scalar agents interconnected via directed graphs. Precisely, the network consists of a large number of agents belonging to several clusters. Each cluster is represented by a fixed directed strongly connected graph and almost all the time there is no link between different clusters. In each cluster there exists a specific agent called leader. At specific instants, the leaders interact via a fixed directed strongly connected graph. In this model the agents have continuous dynamics but the states of the leaders are reseted at the instants when they interact between them. In the paper, we first characterize the consensus value of this model and show it depends only on the initial condition and the interaction topologies. Next, we provide sufficient condition in Linear Matrix Inequality (LMI) form for the global uniform exponential stability of the consensus in presence of an almost periodic reset rule. The numerical implementation of this LMI condition requires a polytopic embedding which is provided before the illustrative example.
Keywords
asymptotic stability; directed graphs; linear matrix inequalities; multi-agent systems; LMI sufficient condition; continuous dynamics; directed graph; global uniform exponential stability; linear agent; linear matrix inequality; nearly-periodic resets; polytopic embedding; scalar agent; Communities; Eigenvalues and eigenfunctions; Lyapunov methods; Power system dynamics; Stability analysis; Symmetric matrices; Vectors; Cooperative control; LMIs; Stability of hybrid systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6858618
Filename
6858618
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