Sentence examples for based on subspace identification from inspiring English sources
A novel identification algorithm for circulant systems based on subspace identification is presented.
Experimental identification of the modal state-space model for Active Vibration Control AVCC) is proposed based on Subspace Identification Method (SIM).
In this paper, modal parameters and mass moments of inertia of an on-road vehicle are estimated with an acceptable accuracy only by measuring accelerations of vehicle sprung mass and unsprung masses, which is based on subspace identification methods.
The paper is organized as follows: A general procedure of estimation based on subspace identification methods are described systematically in Section 2. Model order selection is discussed in Section 3. A method of mode matching via mode shapes is shown in Section 4. The simulation results are shown in Section 5. Conclusions are drawn in Section 6.
The dynamic of industrial process around a given operating point is first estimated based on subspace model identification (SMI) method.
In this simulation study, a discrete-time identification approach based on subspace methods is applied in order to estimate a nominal MIMO state-space model around a given operating point, by probing the system in open-loop with multi-level random signals.
L. Burget, P. Schwarz, et. al. "Multilingual Acoustic Modeling for Speech Recognition based on Subspace Gaussian Mixture Models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2010.
This method is based on subspace projections of a sequence of one or more approximate matrices.
The identification method combines techniques for feature reduction such as Principal Component Analysis (PCA) and Partial Least Squares regression (PLS), both based on subspace transformation, along with a similarity-based analysis.
Two transformation schemes based on subspace techniques are designed in the partially adaptive linear filters.
We propose here a robust reconstruction method that is based on subspace minimization techniques.
