Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network
Kybernetika, Tome 51 (2015) no. 5, pp. 814-829
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In this paper, the distributed $H_\infty$ estimation problem is investigated for a moving target with local communication and switching topology. Based on the solution of the algebraic Riccati equation, a recursive algorithm is proposed using constant gain. The stability of the proposed algorithm is analysed by using the Lyapounov method, and a lower bound for estimation errors is obtained for the proposed common $H_\infty$ filter. Moreover, a bound for the $H_{\infty}$ parameter is obtained by means of the solution of the algebraic Riccati equation. Finally, a simulation example is employed to illustrate the effectiveness of the proposed estimation algorithm.
DOI :
10.14736/kyb-2015-5-0814
Classification :
62A10, 93E12
Keywords: multi-agent systems; distributed estimation; $H_\infty $ filter; switching topology
Keywords: multi-agent systems; distributed estimation; $H_\infty $ filter; switching topology
@article{10_14736_kyb_2015_5_0814,
author = {Chen, Hu and Weiwei, Qin and Bing, He and Gang, Liu},
title = {Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network},
journal = {Kybernetika},
pages = {814--829},
publisher = {mathdoc},
volume = {51},
number = {5},
year = {2015},
doi = {10.14736/kyb-2015-5-0814},
mrnumber = {3445986},
zbl = {06537782},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.14736/kyb-2015-5-0814/}
}
TY - JOUR
AU - Chen, Hu
AU - Weiwei, Qin
AU - Bing, He
AU - Gang, Liu
TI - Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network
JO - Kybernetika
PY - 2015
SP - 814
EP - 829
VL - 51
IS - 5
PB - mathdoc
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DO - 10.14736/kyb-2015-5-0814
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%T Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network
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%D 2015
%P 814-829
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Chen, Hu; Weiwei, Qin; Bing, He; Gang, Liu. Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network. Kybernetika, Tome 51 (2015) no. 5, pp. 814-829. doi: 10.14736/kyb-2015-5-0814
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