This paper presents a result on the design of a steady-state robust state estimator for a class of uncertain discrete-time linear systems with normal bounded uncertainty. This result extends the steady state Kalman filter to the case in which the underlying system is uncertain. A procedure is given
Optimal Linear Filtering and Smoothing for a Discrete Time Stable Linear Model
โ Scribed by M. Rutkowski
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 673 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0047-259X
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โฆ Synopsis
Properties of conditional expectation and metric projection for multivariate symmetric stable distributions are studied. Linear filtering, smoothing, and prediction problems for a discrete time stable linear model with constant coefficients are solved. (C) 1994 Academic Press, Inc.
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