Centralized and distributed robust state fusion estimation

Author

Jin, Xue-Bo ; Lin, Yue-song ; Sun, You-Xian

Author_Institution

Coll. of Informatics & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China

Volume

2

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1037

Abstract

The study of robust state estimation for uncertain multisensor system is an important field of multisensor fusion estimation theory. Based on robust filtering theory, this paper develops polytopic models and centralized robust fusion estimation of uncertain multisensor system by linear matrix inequality (LMI) method, and proves the exact transforming condition, by which robust centralized estimate can be transformed to the distributed fusion method with the same fusion estimate performance. Finally, an example is given to illustrate the estimation approach for the uncertain multisensor system.

Keywords

H/sup /spl infin// control; discrete time systems; estimation theory; filtering theory; linear matrix inequalities; linear systems; sensor fusion; state estimation; uncertain systems; H/sub /spl infin// filtering; LMI method; centralized robust state fusion estimation; distributed fusion method; distributed robust state fusion estimation; linear matrix inequality; multisensor fusion estimation theory; polytopic models; robust filtering theory; uncertain multisensor system; Control systems; Filtering theory; Linear matrix inequalities; Multisensor systems; Noise robustness; Robust control; Sensor systems; State estimation; Uncertain systems; Uncertainty; H∞ filtering; centralized robust fusion estimation; distributed robust fusion estimation; uncertainty multisensor fusion system;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527096

Filename

1527096