Title :
Algebraic characterization of observability in distance-regular consensus networks
Author :
Kibangou, Alain Y. ; Commault, Christian
Author_Institution :
Gipsa-Lab., Univ. Joseph Fourier, Grenoble, France
Abstract :
In this paper, we study the observability issue in consensus networks modeled with strongly regular graphs or distance regular graphs. We derive a Kalman-like simple algebraic criterion for observability in distance regular graphs. This criterion consists in evaluating the rank of a matrix built with the components of the Bose-Mesner algebra associated with the considered graph. Then, we state a simple necessary condition of observability based on parameters of the graph, namely the diameter, the degree, and the number of vertices of the graph.
Keywords :
Kalman filters; graph theory; matrix algebra; observability; Bose-Mesner algebra; Kalman-like simple algebraic criterion; distance regular graphs; distance-regular consensus networks; graph degree; graph diameter; graph vertices; matrix; observability algebraic characterization; strongly regular graphs; Algebra; Arrays; Controllability; Kalman filters; Mathematical model; Observability; Solid modeling;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760064