Güncel Gönderiler: Elektrik ve Elektronik Mühendisliği Bölümü
Toplam kayıt 552, listelenen: 521-540
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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 ... -
Subspace-based spectrum estimation by reweighted and regularized nuclear norm minimization in frequency-domain
(IEEE, 2015)In this paper, we study model order choice in subspace-based identification algorithms using nonuniformly spaced spectrum measurements. A critical step in these methods is splitting of two invariant subspaces associated ... -
Shortest Path Algorithms For Petri Nets
(İstanbul University, Fac Engineering, 2016)Petri net is a mathematical and graphical tool for modeling and analysing discrete event systems. This paper focuses on a driving Petri net system from a given initial state to a desired state via minimum number of operations, ... -
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 ... -
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 ... -
Power spectrum estimation with missing values
(IEEE, 2015)In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. A scheme based on regularized nuclear norm optimization and subspace ... -
Parallel Track Models from Road Measurements
(IEEE, 2017)In this paper, coherence function estimation for parallel tracks from road measurements is studied. A two-stage scheme is proposed. In the first stage, the measurements are de-trended and periodic components are removed. ... -
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 ... -
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 ... -
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 ... -
Identification of acoustic spectra for fault detection in induction motors
(IEEE, 2013)In this paper, we study fault detection problem for induction motors by using a recently developed cross-power spectral density estimation algorithm from sound measurements. In a test rig, from multiple experiments the ... -
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 ... -
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 ... -
Stochastic optimal control of truck cabin with active suspension
(Inderscience Enterprises LTD, 2014)In this paper, a three-degree-of-freedom cabin model for a commercial truck is derived to study ride motions of the cabin under random road excitations. First, an active suspension system is designed using the linear-Nqu ... -
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 ... -
Short-term wind speed forecasting by spectral analysis from long-term observations with missing values
(Elsevier Sci LTD, 2017)In this paper, we propose a novel wind speed forecasting framework. The performance of the proposed framework is assessed on the wind speed measurements collected from the five meteorological stations in the Marmara region ... -
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 ...