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Reports (Research Report) Year : 1998

Kalman Filtering for General Discrete-time Linear Systems


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.
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inria-00073346 , version 1 (24-05-2006)


  • 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⟩
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