White noise H∞ fixed-lag smoothing for continuous time systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 432-440 |
Journal / Publication | Signal Processing |
Volume | 87 |
Issue number | 3 |
Publication status | Published - Mar 2007 |
Link(s)
Abstract
The paper is to investigate the white noise fixed-lag smoothing problem in an H∞ setting for continuous-time systems. Although H2 white noise fixed-lag smoothing and filtering have been well studied, the white noise smoothing under H∞ index remains difficult since the latter is equivalent to a time delay problem. Actually, by introducing a Krein-space state space model, it will be shown that the H∞ white noise central smoother is an H2 fixed-lag smoothing with delayed measurements. To overcome the time delay, the re-organized innovation analysis approach is adopted in this paper. The derived fixed-lag smoother is given in terms of two differential Riccati equations (DREs) with the same order as that of the original system. © 2006 Elsevier B.V. All rights reserved.
Research Area(s)
- Continuous time systems, Differential Riccati equation, Fixed-lag, H∞ Estimation, White noise
Citation Format(s)
White noise H∞ fixed-lag smoothing for continuous time systems. / Zhang, Huanshui; Feng, Gang; Lu, Xiao.
In: Signal Processing, Vol. 87, No. 3, 03.2007, p. 432-440.
In: Signal Processing, Vol. 87, No. 3, 03.2007, p. 432-440.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review