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Toplam kayıt 83, listelenen: 11-20
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 ...
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 ...
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 ...
Rational interpolation of analytic functions from real or imaginary parts of frequency-response data: A subspace-based approach
(2009)
In this letter, 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 ...
Multi-objective control of a full-car model using linear-matrix-inequalities and fixed-order optimisation
(Taylor & Francis LTD, 2014)
This paper studies multi-objective control of a full-vehicle suspension excited by random road disturbances. The control problem is first formulated as a mixed H-2/H synthesis problem and an output-feedback solution is ...
On the uniform approximation of discrete-time systems by generalized Fourier series
(IEEE-Inst Electrical Electronics Engineers Inc, 2001)
In this paper, model sets for linear time-invariant discrete-time systems spanned by fixed orthonormal bases are studied. It is shown that the Fourier series of the system transfer function with respect to these bases ...
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 ...
The size of the membership-set in a probabilistic framework
(Pergamon-Elsevier Science LTD, 2004)
In this paper, we study the size of the membership-set for system identification in a probabilistic framework. Assuming that the regressors are persistently exciting and the measurement noise is a sequence of independent, ...
Frequency domain subspace identification of discrete-time singular power spectra
(2011)
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 ...