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Toplam kayıt 41, listelenen: 1-10
Continuous-time stable and unstable system modelling with orthonormal basis functions
(John Wiley & Sons LTD, 2000)
In this paper, model sets for linear time-invariant continuous-time systems which are spanned by fixed-pole orthonormal bases are investigated. The obtained model sets are shown to be complete in the Lebesque spaces L-p ...
Frequency domain analysis of model order reduction techniques
(Elsevier Science BV, 2006)
In this Study, some popular model order reduction and superelement techniques are studied in frequency and time domains. Frequency domain identification (FDI) methods are also applied to semidiscrete finite element equations ...
Convergence analysis of central and minimax algorithms in scalar regressor models
(Springer London LTD, 2006)
In this paper, the estimation of a scalar parameter is considered with given lower and upper bounds of the scalar regressor. We derive non-asymptotic, lower and upper bounds on the convergence rates of the parameter estimate ...
Paley inequalities for discrete-time rational orthonormal bases
(Elsevier Science BV, 2000)
In this paper, we derive some inequalities which provide information about the Fourier coefficients of linear-time-invariant discrete-time systems with respect to the bounded rational orthonormal basis functions studied ...
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 ...
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 ...
A stochastic analysis of robust estimation algorithms in H-infinity with rational basis functions
(John Wiley & Sons LTD, 2002)
In this paper, a two-stage nonlinear identification algorithm parameterized in terms of rational basis functions with fixed basis poles is studied when disturbances are subject to mild stochastic assumptions. The two-stage ...
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 ...
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 ...