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Study of Robust H∞ Filtering Application in Loosely Coupled INSGPS System
Joint Authors
Feng, Yanming
Qiu, Haiyang
Zhao, Lin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Since a celebrate linear minimum mean square (MMS) Kalman filter in integration GPS/INS system cannot guarantee the robustness performance, a H∞ filtering with respect to polytopic uncertainty is designed.
The purpose of this paper is to give an illustration of this application and a contrast with traditional Kalman filter.
A game theory H∞ filter is first reviewed; next we utilize linear matrix inequalities (LMI) approach to design the robust H∞ filter.
For the special INS/GPS model, unstable model case is considered.
We give an explanation for Kalman filter divergence under uncertain dynamic system and simultaneously investigate the relationship between H∞ filter and Kalman filter.
A loosely coupled INS/GPS simulation system is given here to verify this application.
Result shows that the robust H∞ filter has a better performance when system suffers uncertainty; also it is more robust compared to the conventional Kalman filter.
American Psychological Association (APA)
Zhao, Lin& Qiu, Haiyang& Feng, Yanming. 2014. Study of Robust H∞ Filtering Application in Loosely Coupled INSGPS System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-506793
Modern Language Association (MLA)
Zhao, Lin…[et al.]. Study of Robust H∞ Filtering Application in Loosely Coupled INSGPS System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-506793
American Medical Association (AMA)
Zhao, Lin& Qiu, Haiyang& Feng, Yanming. Study of Robust H∞ Filtering Application in Loosely Coupled INSGPS System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-506793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506793