Title :
Distributed estimation for moving target under switching interconnection network
Author :
Zhenwei Zhou ; Yiguang Hong ; Haitao Fang
Author_Institution :
Key Lab. of Syst. & Control, Beijing, China
Abstract :
This paper studies the distributed estimation problem for a moving discrete-time target under switching topologies and stochastic noises. For this problem, we propose a recursive distributed estimation algorithm based on state-consensus strategy. Under well-known observability and connectivity assumptions, an upper bound and lower bound for the total mean square estimation error (TMSEE) are established, respectively, by using common Lyapunov method and Kalman filtering theory.
Keywords :
Kalman filters; Lyapunov methods; discrete time systems; mean square error methods; network theory (graphs); observability; recursive estimation; stochastic processes; time-varying systems; topology; Kalman filtering theory; Lyapunov method; TMSEE; connectivity assumption; lower bound; moving discrete-time target distributed estimation problem; observability assumption; recursive distributed estimation algorithm; state-consensus strategy; stochastic noises; switching interconnection network; switching topologies; total mean square estimation error; upper bound; Estimation; Kalman filters; Noise; Noise measurement; Switches; Topology; Upper bound; Distributed estimation; Kalman filter; moving target; stability; switching topologies;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485124
