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Chiuso, Alessandro and Pillonetto , Gianluigi and De Nicolao, Giuseppe (2008) Subspace Identification using predictor estimation via Gaussian
[Technical Report] (Inedito)

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Abstract (english)

In this paper we propose a new nonparametric approach to
identification of linear time invariant systems using subspace
methods. The nonparametric paradigm to prediction of stationary
stochastic processes, developed in a companion paper, is integrated
into a recently proposed subspace method. Simulation results show
that this approach significantly improves over standard subspace
methods when using small sample sizes. In particular, the new
approach facilitates significantly the order selection step.

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EPrint type:Technical Report
Anno di Pubblicazione:March 2008
Key Words:subspace methods, kernel-based methods, Bayesian estimation, regularization, Gaussian processes
Settori scientifico-disciplinari MIUR:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 Automatica
Struttura di riferimento:Dipartimenti > Dipartimento di Tecnica e Gestione dei Sistemi Industriali
Codice ID:1020
Depositato il:12 Mar 2008
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