TY - GEN
T1 - Consensus conditions of continuous-time multi-agent systems with relative-state-dependent measurement noises and matrix-valued intensity functions
AU - Li, Tao
AU - Wu, Fuke
AU - Zhang, Ji Feng
PY - 2013
Y1 - 2013
N2 - In this paper, we consider the distributed consensus of high-dimensional first-order agents with relative-state-dependent measurement noises. Each agent can measure or receive its neighbors' state information with random noises, whose intensity is a nonlinear matrix-valued function of agents' relative states. By the tools of stochastic differential equations and algebraic graph theory, we give sufficient conditions to ensure mean square and almost sure consensus and the convergence rate and the steady-state error for average consensus are quantified.
AB - In this paper, we consider the distributed consensus of high-dimensional first-order agents with relative-state-dependent measurement noises. Each agent can measure or receive its neighbors' state information with random noises, whose intensity is a nonlinear matrix-valued function of agents' relative states. By the tools of stochastic differential equations and algebraic graph theory, we give sufficient conditions to ensure mean square and almost sure consensus and the convergence rate and the steady-state error for average consensus are quantified.
UR - https://www.scopus.com/pages/publications/84886469398
U2 - 10.1109/ASCC.2013.6606198
DO - 10.1109/ASCC.2013.6606198
M3 - 会议稿件
AN - SCOPUS:84886469398
SN - 9781467357692
T3 - 2013 9th Asian Control Conference, ASCC 2013
BT - 2013 9th Asian Control Conference, ASCC 2013
T2 - 2013 9th Asian Control Conference, ASCC 2013
Y2 - 23 June 2013 through 26 June 2013
ER -