ITEM METADATA RECORD
Title: Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
Authors: Gillijns, Steven ×
De Moor, Bart #
Issue Date: May-2007
Publisher: Pergamon-elsevier science ltd
Series Title: Automatica vol:43 issue:5 pages:934-937
Abstract: This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased estimation, a recursive filter is derived where the estimation of the state and the input are interconnected. The derivation is based on the assumption that no prior knowledge about the dynamical evolution of the unknown input is available. The resulting filter has the structure of the Kalman filter, except that the true value of the input is replaced by an optimal estimate. (c) 2007 Elsevier Ltd. All rights reserved.
URI: 
ISSN: 0005-1098
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Electrical Engineering - miscellaneous
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science