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Toplam kayıt 83, listelenen: 71-80
Subspace-based spectrum estimation in innovation models by mixed norm minimization
(Pergamon-Elsevier Science LTD, 2019)
In this paper, identification of discrete-time power spectra of multi-input/multi-output (MIMO) systems in innovation models from output-only time-domain measurements is considered.A hybrid identification algorithm unifying ...
Influence of Tire Damping on Actively Controlled Quarter-Car Suspensions
(Asme, 2011)
In this note, a comprehensive analysis of tire damping effect on H-2-optimal, multi-objective, and robust control of quarter-car suspensions excited by random road disturbances is provided. First, H-2-optimal and convex ...
Regularized Nuclear Norm Spectrum Estimation in Frequency Domain
(IEEE, 2013)
Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from spectrum samples. A critical step in these methods is the splitting of causal and ...
A spectral estimation case study in frequency-domain by subspace methods
(IEEE, 2013)
In this paper, the properties of two recently proposed frequency-domain subspace-based algorithms to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices of ...
Spectrum estimation in innovation models by a nuclear norm optimization based algorithm
(IEEE, 2017)
In this paper, identification of multi-input/multioutput (Ml MO) state-space models in the innovation form by a regularized-nuclear norm optimization based subspace algorithm is studied. Parametrization issues arc carefully ...
Cramer-Rao Bounds for Road Profile Estimation
(IEEE, 2017)
In this paper, we study estimator accuracy in road profile identification. We derive a Cramer-Rao lower bound on the variances of all unbiased waviness parameter estimators for an ISO 8608 road profile, widely used in ...
Subspace-based rational interpolation of analytic functions from real or imaginary parts of frequency-response data
(IEEE, 2009)
In this paper, construction of analytic functions from evaluations of real or imaginary parts on finite subsets of the unit circle is studied. The points in the subsets are not necessarily uniformly spaced as in the most ...
Spectrum estimation with missing values: A regularized nuclear norm minimization approach
(World Scientific Publ Co Pte LTD, 2016)
In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. We propose two schemes based on the regularized nuclear norm minimization ...
Spectrum estimation in frequency-domain by subspace and regularization-based algorithms: A survey
(IEEE, 2015)
In this survey article, we study methods to identify multi-input/multi-output, discrete-time, linear time-invariant systems from power spectrum measurements. First, we examine subspace-based identification algorithms. A ...
Positive Realness in Stochastic Subspace Identification: A Regularized and Reweighted Nuclear Norm Minimization Approach
(IEEE, 2015)
In this paper, we propose a method to transform a non-positive real transfer function matrix into a positive real one. This problem is of engineering interest and arises when a linear time-invarant dynamics is identified ...