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
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;
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.2013.6761131