Distributed H ∞ estimation for moving target under switching multi-agent network

Hu Chen; Qin Weiwei; He Bing; Liu Gang

Kybernetika (2015)

  • Volume: 51, Issue: 5, page 814-829
  • ISSN: 0023-5954

Abstract

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In this paper, the distributed H ∞ 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 ∞ filter. Moreover, a bound for the H ∞ 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.

How to cite

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Chen, Hu, et al. "Distributed $H_{\infty }$ estimation for moving target under switching multi-agent network." Kybernetika 51.5 (2015): 814-829. <http://eudml.org/doc/276121>.

@article{Chen2015,
abstract = {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.},
author = {Chen, Hu, Weiwei, Qin, Bing, He, Gang, Liu},
journal = {Kybernetika},
keywords = {multi-agent systems; distributed estimation; $H_\infty $ filter; switching topology},
language = {eng},
number = {5},
pages = {814-829},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Distributed $H_\{\infty \}$ estimation for moving target under switching multi-agent network},
url = {http://eudml.org/doc/276121},
volume = {51},
year = {2015},
}

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
PB - Institute of Information Theory and Automation AS CR
VL - 51
IS - 5
SP - 814
EP - 829
AB - 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.
LA - eng
KW - multi-agent systems; distributed estimation; $H_\infty $ filter; switching topology
UR - http://eudml.org/doc/276121
ER -

References

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