DocumentCode
3743839
Title
On the convergence of a risk sensitive like filter
Author
Mattia Zorzi;Bernard C. Levy
Author_Institution
Dipartimento di Ingegneria dell´Informazione, Università
fYear
2015
Firstpage
4990
Lastpage
4995
Abstract
In this paper, we analyze the convergence of a risk sensitive like filter where the risk sensitivity parameter is time varying. Such filter has a Kalman like structure and its gain matrix is updated according to a distorted version of the Riccati iteration. We show that the iteration converges to a fixed point by using the contraction analysis.
Keywords
"Robustness","Sensitivity","Kalman filters","Convergence","Eigenvalues and eigenfunctions","Symmetric matrices"
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type
conf
DOI
10.1109/CDC.2015.7402999
Filename
7402999
Link To Document