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A frequency domain approach to state estimation

✍ Scribed by H.J. Marquez


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
155 KB
Volume
340
Category
Article
ISSN
0016-0032

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✦ Synopsis


A novel input-to-state approach to the problem of robust state estimation in the presence of model uncertainty as well as plant disturbance and sensor noise is considered. A new observer structure is introduced and shown to have certain advantages over the classical Luenberger observer when studying robustness issues. This structure is then used to solve the robust estimation problem in the H N framework.


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✍ K. Dzhaparidze; J.A. Ferreira πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 197 KB

Let X be a fractional Brownian motion. It is known that M t = m t dX; t ΒΏ 0, where m t is a certain kernel, deΓΏnes a martingale M , and also that X can be represented by X t = x t dM; t ΒΏ 0, for some kernel x t . We derive these results by using the spectral representation of the covariance function