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» Mixed linear system estimation and identification
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CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
13 years 9 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...
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
13 years 11 months ago
Recursive state estimation for linear systems with mixed stochastic and set-bounded disturbances
Abstract— Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded ...
Toivo Henningsson
CDC
2010
IEEE
101views Control Systems» more  CDC 2010»
13 years 1 days ago
Identification of mixed linear/nonlinear state-space models
The primary contribution of this paper is an algorithm capable of identifying parameters in certain mixed linear/nonlinear state-space models, containing conditionally linear Gauss...
Fredrik Lindsten, Thomas B. Schön
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
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 5 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