DocumentCode
1675980
Title
Reduced order H∞ filter design for time varying systems
Author
Yu, Xianggang ; Hsu, Chin S.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume
3
fYear
1994
Firstpage
2231
Abstract
This paper is concerned with the reduced-order H∞ filter design for linear time varying continuous systems in which all measurements are contaminated with noise (nonsingular case). The proposed filters have the Luenberger observer structure in a more general form and their order can be as low as n-p, where n and p are the order of signal systems and the number of measurements, respectively. Several bounded real lemmas are developed for the infinite-horizon and finite-horizon cases. They are the only tools used to establish the reduced-order filter design in this paper. It is shown that the full order filters in Nagpal and Khargonekar (1991) are special cases of the results presented in this paper
Keywords
continuous time systems; filtering theory; linear systems; observers; reduced order systems; time-varying systems; Luenberger observer structure; finite-horizon; infinite-horizon; linear time varying continuous systems; nonsingular case; reduced order H∞ filter design; Computer science; Filtering theory; Information filtering; Information filters; Noise measurement; Nonlinear filters; Pollution measurement; State estimation; Time varying systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411488
Filename
411488
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