Results 291 to 300 of about 13,903 (307)

Subspace identification of deterministic bilinear systems

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
In this paper, a 'three block' subspace method for the identification of deterministic bilinear systems is developed. The input signal to the system does not have to be white, which is a major advantage over an existing subspace method for bilinear systems.
Huixin Chen, Jan M. Maciejowski
openaire   +1 more source

Identification of stable models in subspace identification by using regularization

IEEE Transactions on Automatic Control, 2001
The authors consider the identification problem for linear combined deterministic-stochastic systems for which special cases, both deterministic and stochastic, use a subspace identification method with regularization. It is well known that in common subspace identification methods, the system matrices are estimated by the least squares method, but for
Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor   +3 more
openaire   +1 more source

Uncertainties Quantification for Subspace Identification of Rotating Systems

IFAC Proceedings Volumes, 2013
Abstract The dynamics of rotating systems such as helicopters and wind turbines show periodically time-varying behavior. Differently from the linear time-invariant case, such systems cannot be characterized by the classical modal parametrization. An alternative description is made possible with the Floquet theory which extends the modal analysis and ...
Jhinaoui, Ahmed, Mevel, Laurent, Morlier, Joseph   +2 more
openaire   +2 more sources

Robust and Bayesian Subspace Identification

IEEE Transactions on Automatic Control
openaire   +2 more sources

A unifying theorem for three subspace system identification algorithms

Automatica, 1995
Peter Van Overschee, Bart De Moor
exaly  

The role of vector autoregressive modeling in predictor-based subspace identification

Automatica, 2007
Alessandro Chiuso
exaly  

Closed-loop subspace identification using the parity space

Automatica, 2006
Jin Wang, S Joe Qin
exaly  

A new subspace identification approach based on principal component analysis

Journal of Process Control, 2002
Jin Wang, S Joe Qin
exaly  

Subspace identification of multivariable linear parameter-varying systems

Automatica, 2002
Vincent Verdult, Michel Verhaegen
exaly  

Bootstrap-based estimates of uncertainty in subspace identification methods

Automatica, 2000
Marco Lovera
exaly