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Now showing items 1-10 of 12
A subspace-based method for solving Lagrange-Sylvester interpolation problems
(Siam Publications, 2007)
In this paper, we study the Lagrange-Sylvester interpolation of rational matrix functions which are analytic at infinity, and propose a new interpolation algorithm based on the recent subspace-based identification methods. ...
Frequency domain subspace-based identification of discrete-time singular power spectra
(Elsevier Science BV, 2012)
In this paper, we propose a subspace algorithm for the identification of linear-time-invariant discrete-time systems with more outputs than inputs from measured power spectrum data. The proposed identification algorithm ...
Spectral Modeling of Longitudinal Road Profiles
(IEEE, 2015)
In this paper, for a quarter-car model, we derive covariance expressions for the MIRA spectrum and calculate the root-mean square outputs for the ISO 8608 classified roads. The derived results are compared with existing ...
Identification of continuous-time power spectra by generalized Fourier series
(Chinese Automatic Control Soc, 2007)
In this paper, we present a generalized Fourier series based algorithm for the identification of continuous-time, linear-time invariant systems from power spectrum measurements. The algorithm is strongly consistent and it ...
Subspace-based spectrum estimation in frequency-domain by regularized nuclear norm minimization
(Elsevier Science BV, 2014)
Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant ...
Spectral estimation in frequency-domain by subspace techniques
(Elsevier Science BV, 2014)
In this paper, frequency-domain subspace-based algorithms are proposed to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices from samples of the Welch cross-PSD ...
Subspace-Based Identification of Acoustic Noise Spectra in Induction Motors
(IEEE-Inst Electrical Electronics Engineers Inc, 2015)
In this paper, we study the identification of acoustic noise spectra in induction motors by using a recently developed frequency-domain cross-power spectrum estimation algorithm. This algorithm is a noniterative high-resolution ...
Identification of power spectra by reweighted and regularized nuclear norm minimization
(IEEE, 2015)
In this paper, we study model order choice in subspace identification algorithms using uniformly spaced spectrum measurements. In these algorithms, model order is determined by singular-value decomposition of a structured ...
Membership set identification with periodic inputs and orthonormal regressors
(Elsevier Science BV, 2006)
In this paper, we study the central and the projection algorithms in membership-set estimation with periodic input signals and orthonormal basis functions for the special case that the number of the estimated parameters ...
Estimation of cross-power and auto-power spectral densities in frequency domain by subspace methods
(IEEE, 2012)
In this paper, frequency-domain subspace-based algorithms are proposed to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices of vector auto-regressive ...
