HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

Kalman Filtering for General Discrete-time Linear Systems

Abstract : Recursive state estimation problems for explicit and implicit time-invariant linear systems, both for systems with and without unknown inputs, can be formulated as a single problem usually referred to as descriptor Kalman filtering. Solutions to this problem have been proposed in the literature, however, these solutions either neglect possible contributions of future dynamics to the current estimate or make unnecessary assumptions on the structure of the system. In this paper we propose a solution to this problem which leads to a constructive method lifting these unnecessary assumptions. This method uses a generalization of the shuffle algorithm.
Document type :
Complete list of metadata

Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Wednesday, May 24, 2006 - 12:35:26 PM
Last modification on : Thursday, February 3, 2022 - 11:14:40 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:43:19 PM


  • HAL Id : inria-00073346, version 1



Ramine Nikoukhah, Stephen L. Campbell, François Delebecque. Kalman Filtering for General Discrete-time Linear Systems. [Research Report] RR-3343, INRIA. 1998. ⟨inria-00073346⟩



Record views


Files downloads