In this paper, we consider the problem of finding, among solutions of a moment problem, the best Kullback-Leibler approximation of a given a priori spectral density. We present a new complete existence proof for the dual optimization problem in the Byrnes-Lindquist spirit. We also prove a descent property for a matricial iterative method for the numerical solution of the dual problem. The latter has proven to perform extremely well in simulation testbeds.

Further Results on the Byrnes-Georgiou-Lindquist Generalized Moment Problem

RAMPONI, Federico Alessandro
2007-01-01

Abstract

In this paper, we consider the problem of finding, among solutions of a moment problem, the best Kullback-Leibler approximation of a given a priori spectral density. We present a new complete existence proof for the dual optimization problem in the Byrnes-Lindquist spirit. We also prove a descent property for a matricial iterative method for the numerical solution of the dual problem. The latter has proven to perform extremely well in simulation testbeds.
2007
Altra università italiana
Modeling, Estimation and Control
A. Chiuso, A. Ferrante, S. Pinzoni
PE7_1 Control engineering
Inglese
Internazionale
STAMPA
73
83
11
978-354073569-4
no
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
3
268
none
Ferrante, Augusto; Pavon, Michele; Ramponi, Federico Alessandro
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/484478
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