DocumentCode :
434891
Title :
Quadratic filtering for simultaneous state and parameter estimation of uncertain systems
Author :
Di Martino, Domenico ; Germani, Alfredo ; Manes, Costanzo ; Palumbo, Pasquale
Author_Institution :
Italian Nat. Inst. of Nucl. Phys., Assergi, Italy
Volume :
4
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
3569
Abstract :
The aim of this paper is to investigate the problem of the joint estimation of both the state and parameters for a class of discrete-time linear systems driven by additive noise, not necessarily Gaussian. A recursive quadratic filter with respect to the observations is here proposed and implemented, by opportunely extending the state space also with the inclusion of the parameters vector. The algorithm is achieved with the systematic use of the Kronecker algebra, which constitutes a powerful tool for polynomial manipulations of vectors and matrices. Numerical simulations are also reported, showing the high performances of the proposed methods with respect to the usually adopted Extended Kalman Filter.
Keywords :
discrete time systems; linear systems; parameter estimation; recursive filters; state estimation; stochastic systems; uncertain systems; Kronecker algebra; additive noise; discrete-time linear systems; extended Kalman filter; parameter estimation; polynomial manipulations; quadratic filtering; recursive quadratic filter; state estimation; stochastic uncertain linear systems; Additive noise; Algebra; Filtering; Filters; Linear systems; Parameter estimation; State estimation; State-space methods; Uncertain systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1429266
Filename :
1429266
Link To Document :
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