Title :
Global stochastic exponential consensus of multi-agent networks
Author_Institution :
Sch. of Sci., Wuhan Inst. of Technol., Wuhan, China
Abstract :
In this paper, focused on the influence of noise, global stochastic exponential consensus seeking problem is considered for networked agents on general connected digraphs. The stochastic noises are assumed to be Wiener processes that affect not only the network coupling but also the overall network. Based on algebraic graph theory and stochastic analysis techniques, a novel general criteria for global almost sure exponential consensus is established. It is shown that that global consensus can be achieved almost surely over general digraph under certain coupling strength and noise conditions. Finally, one example with numerical simulation is worked out for illustration.
Keywords :
directed graphs; multi-agent systems; network theory (graphs); numerical analysis; stochastic processes; algebraic graph theory; general connected digraph; global stochastic exponential consensus seeking problem; multiagent network; network coupling; networked agent; noise condition; noise influence; numerical simulation; stochastic analysis technique; Couplings; Graph theory; Multiagent systems; Network topology; Noise; Stochastic processes; Topology; Multi-agent networks; global stochastic exponential consensus; stochastic coupling; stochastic perturbation;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3