Results 261 to 270 of about 2,583,502 (287)

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   +2 more sources

Adaptive radar detection: A subspace identification approach

2010 2nd International Workshop on Cognitive Information Processing, 2010
We address adaptive detection of Swerling 2 pulse trains by an array of antennas. The disturbance is modeled in terms of a state space model and the ideas of subspace identification are used to come up with a GLRT-based detector. Such detector is compared by Monte Carlo simulation with a Kelly's detector derived assuming that returns are temporally ...
BANDIERA, Francesco, D. Orlando, RICCI, Giuseppe, L. L. Scharf   +3 more
openaire   +2 more sources

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

Statistically robust signal subspace identification

International Conference on Acoustics, Speech, and Signal Processing, 2002
The problem of signal subspace identification in the presence of transient, high-power noise or non-Gaussian noise is considered. To overcome such problems, an algorithm that results in a statistically robust singular value decomposition is proposed. This algorithm is derived from the connection between least-squares regression and the singular value ...
openaire   +2 more sources

Uncertainty quantification in data-driven stochastic subspace identification

Mechanical Systems and Signal Processing, 2021
Edwin Reynders
exaly  

Subspace identification methods

2020
Pierre Thijssen, Sillas Hadjiloucas
openaire   +1 more source

Randomized Subspace Identification for LTI Systems

2023 European Control Conference (ECC), 2023
Vatsal Kedia, Debraj Chakraborty 0001
openaire   +1 more source

Subspace state space system identification for industrial processes

Journal of Process Control, 2000
Bart De Moor, Peter Van Overschee
exaly  

Recursive subspace identification of linear and non-linear Wiener state-space models

Automatica, 2000
Marco Lovera, Michel Verhaegen
exaly  

Uncertainty quantification for modal parameters from stochastic subspace identification on multi-setup measurements

Mechanical Systems and Signal Processing, 2013
Michael Döhler
exaly