Sciweavers

70 search results - page 4 / 14
» Mixed linear system estimation and identification
Sort
View
CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
13 years 10 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
13 years 8 months ago
Subspace identification using predictor estimation via Gaussian regression
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 station...
Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe ...
DSP
2006
13 years 6 months ago
Non-parametric linear time-invariant system identification by discrete wavelet transforms
We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation t...
Robert Wing Pong Luk, Robert I. Damper
ICASSP
2011
IEEE
12 years 10 months ago
On the identification of parametric underspread linear systems
Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequency-shifts (Doppler-shifts), is a central task in many engineering applications...
Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 6 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic