Robust H = Filtering for uncertain systems based on sampled measurement

Chuang Ma; Weinan Xie; Boqi Xi; Changhong Wang

doi:10.1109/ISSCAA.2008.4776284

Robust H = Filtering for uncertain systems based on sampled measurement

Chuang Ma
, Weinan Xie^*
, Boqi Xi
, Changhong Wang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

The problem of robust H OIl filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Finally, a numerical example is provided to illustrate the effectiveness of the proposed techniques.

Original language	English
DOIs	https://doi.org/10.1109/ISSCAA.2008.4776284
State	Published - 2008
Event	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 - Shenzhen, China Duration: 10 Dec 2008 → 12 Dec 2008

Conference

Conference	2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008
Country/Territory	China
City	Shenzhen
Period	10/12/08 → 12/12/08

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10.1109/ISSCAA.2008.4776284

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title = "Robust H = Filtering for uncertain systems based on sampled measurement",

abstract = "The problem of robust H OIl filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Finally, a numerical example is provided to illustrate the effectiveness of the proposed techniques.",

author = "Chuang Ma and Weinan Xie and Boqi Xi and Changhong Wang",

year = "2008",

doi = "10.1109/ISSCAA.2008.4776284",

language = "英语",

note = "2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008 ; Conference date: 10-12-2008 Through 12-12-2008",

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TY - CONF

T1 - Robust H = Filtering for uncertain systems based on sampled measurement

AU - Ma, Chuang

AU - Xie, Weinan

AU - Xi, Boqi

AU - Wang, Changhong

PY - 2008

Y1 - 2008

N2 - The problem of robust H OIl filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Finally, a numerical example is provided to illustrate the effectiveness of the proposed techniques.

AB - The problem of robust H OIl filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Finally, a numerical example is provided to illustrate the effectiveness of the proposed techniques.

UR - https://www.scopus.com/pages/publications/66449101819

U2 - 10.1109/ISSCAA.2008.4776284

DO - 10.1109/ISSCAA.2008.4776284

M3 - 论文

AN - SCOPUS:66449101819

T2 - 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, ISSCAA 2008

Y2 - 10 December 2008 through 12 December 2008

ER -

Robust H = Filtering for uncertain systems based on sampled measurement

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