Title :
Distributed H∞-consensus estimation for moving target using constant gain
Author :
Chen, Hu ; Bing, He ; Xi, Ma ; Gang, Liu
Author_Institution :
Department of Automation, Xian Institute of High-Tech, Xian, Shaanxi 710025, P.R. China
Abstract :
This paper studies the H∞-consensus estimation problem for a moving target using constant gain under local communication and stochastic noises, where the communication topology is assumed to be switched. To solve this problem, we propose a recursive H∞-consensus estimation algorithm using constant gain, which based on the solution of algebraic Riccati equation (ARE). The stability properties of the proposed algorithm and a lower bound for estimation errors are investigated by using Lyapunov method and a common H∞ filter. The effectiveness of the proposed estimation algorithm are illustrated by simulations.
Keywords :
Estimation; Kalman filters; Linear matrix inequalities; Noise; Stability analysis; Switches; Topology; H∞ filter; Multi-agent systems; distributed estimation; switching topology;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260773