DocumentCode
3539471
Title
Asymptotic consensus solutions in non-linear delayed distributed algorithms under deterministic & stochastic perturbations
Author
Somarakis, Christoforos ; Baras, John S.
Author_Institution
Inst. for Syst. Res., Univ. Of Maryland, College Park, MD, USA
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
7821
Lastpage
7826
Abstract
We consider a multi-agent non-linear delayed model which sustains consensus type of solutions. We use fixed point theory arguments to establish sufficient conditions for existence and uniqueness of solutions that converge exponentially fast to a common value with prescribed rate. The conditions depend on the communication topology, the nonlinearity of the model as well as the delay in the propagation of information. Furthermore we test the robustness of our results in the presence of independent time varying perturbations both deterministic and stochastic.
Keywords
distributed algorithms; graph theory; multi-agent systems; stochastic processes; asymptotic consensus solutions; communication topology; exponential converge; fixed-point theory arguments; independent time varying deterministic perturbations; independent time varying stochastic perturbations; information propagation delay; model nonlinearity; multiagent nonlinear delayed model; nonlinear delayed distributed algorithms; sufficient conditions; Convergence; Delays; Extraterrestrial measurements; Heuristic algorithms; Random variables; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6761131
Filename
6761131
Link To Document