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AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 4 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
AUTOMATICA
2010
104views more  AUTOMATICA 2010»
13 years 4 months ago
Identification for robust H2 deconvolution filtering
This paper addresses robust deconvolution filtering when the system and noise dynamics are obtained by parametric system identification. Consistent with standard identification me...
Xavier Bombois, Håkan Hjalmarsson, Gé...
ICASSP
2010
IEEE
13 years 3 months ago
Identification of linear systems in canonical form through an EM framework
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
Pavlos Papadopoulos, Vassilis Digalakis
CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
13 years 8 months ago
Mixed linear system estimation and identification
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inp...
Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorin...
AUTOMATICA
2010
167views more  AUTOMATICA 2010»
13 years 4 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao