Title
Quadratic filtering for non-Gaussian and not asymptotically stable linear discrete-time systems
Abstract
This paper concerns the state estimation problem for linear discrete-time systems with non-Gaussian state and output noises. A sub-optimal quadratic filter algorithm is proposed. In order to enlarge the class of systems allowed to be processed, a novel approach based on the output injection stabilization is derived. Also a second benefit to the estimate performances, due to the possibility of assignment of the system eigenvalues, is investigated. Numerical results validate the effectiveness of the proposed method.
Year
DOI
Venue
2014
10.1109/CDC.2014.7040169
Decision and Control
Keywords
Field
DocType
discrete time systems,eigenvalues and eigenfunctions,filtering theory,linear systems,stability,state estimation,linear discrete-time systems,output injection stabilization,state estimation,suboptimal quadratic filter algorithm,system eigenvalues
Mathematical optimization,Control theory,Filter (signal processing),Quadratic equation,Gaussian,Discrete time and continuous time,Filter algorithm,Eigenvalues and eigenvectors,Mathematics,Stability theory
Conference
ISSN
Citations 
PageRank 
0743-1546
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Filippo Cacace1122.15
Francesco Conte2236.39
A. Germani340152.47
Giovanni Palombo420.73