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Road Profile Modeling by Subspace Identification Methods
(IEEE, 2015)
In this paper, spectral models of road profiles using nonparametric and subspace identification methods are developed from road elevation measurements. First, power spectra of road profiles are estimated on uniform grids ...
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 ...
Wind speed forecasting by subspace and nuclear norm optimization based algorithms
(Elsevier Ltd, 2019)
In this paper, we study properties of two wind speed forecasting schemes from mid-to-short term wind velocity measurements. The measurements are assumed to be collected over time intervals shorter than the ones previously ...
Time-domain identification of rational spectra with missing data
(IEEE, 2016)
In this paper, we study modelling of rational spectra from time-domain measurements when the measurement information is not complete. We propose a three-stage estimation scheme. In the first-stage, rational spectra are ...
Subspace-Based Spectrum Estimation By Nuclear Norm Minimization
(IEEE, 2013)
Subspace-based methods have been effectively used to estimate multi-input/multi-output, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant subspaces ...
Road profile modeling by subspace identification methods
(Institute of Electrical and Electronics Engineers Inc., 2015)
In this paper, spectral models of road profiles using nonparametric and subspace identification methods are developed from road elevation measurements. First, power spectra of road profiles are estimated on uniform grids ...
Positive realness in stochastic subspace identification: A regularized and reweighted nuclear norm minimization approach
(Institute of Electrical and Electronics Engineers Inc., 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 ...
Nuclear Norm Spectrum Estimation From Uniformly Spaced Measurements
(IEEE-Inst Electrical Electronics Engineers Inc, 2014)
Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from uniformly spaced spectrum samples. A critical step in these methods is the splitting ...
Power spectrum estimation in innovation models
(Academic Press LTD- Elsevier Science LTD, 2019)
In this paper, a regularized nuclear norm minimization-based subspace identification algorithm is proposed to estimate discrete-time power spectra of multi-input/multi-out systems in innovation models from output-only ...
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 ...
