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Toplam kayıt 40, listelenen: 11-20
Control Design for a High Speed Railway Vehicle via Fixed and Non-Fixed Order Optimization
(IEEE, 2017)
In this paper, the Root-Mean-Square (RMS) responses of the heave and pitch accelerations, the suspension travels, and the wheel deflections of a high-speed railway vehicle excited by random road inputs are studied. The ...
Multi-objective control design for a truck cabin
(IFAC Secretariat, 2014)
In this paper, a multi-objective control of a three-degrees-of-freedom cabin model for a commercial truck excited by random road disturbances is studied. The multi-objective control problem is formulated as a non-convex ...
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 ...
Track Modelling and Control of a Railway Vehicle
(Elsevier Science BV, 2016)
In this paper, a railway vehicle AM96 train developed by Bombardier, Belgium is represented as a half-car model. First, random road defect inputs are modelled as track class 6 from Federal Railroad Administration (FRA) ...
A subspace-based approach to Lagrange-Sylvester interpolation of rational matrix functions
(IEEE, 2005)
In this paper, we study Lagrange-Sylvester interpolation of rational matrix functions which are analytic at infinity and propose a new interpolation algorithm based on the recent subspace-based identification methods. As ...
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 ...
Influence of Wheel-Rail Contact Stiffness on the H-2 Controlled Active Suspension Design
(Elsevier Science BV, 2017)
In this work, the mathemtical model of a railway passenger car with conventional and radial-elastic wheels is analyzed. Stochastic excitations are applied to the wheelsets. The local elasticity between the wheel and the ...
Spectral Modeling of Longitudinal Road Profiles
(IEEE, 2015)
In this paper, for a quarter-car model, we derive covariance expressions for the MIRA spectrum and calculate the root-mean square outputs for the ISO 8608 classified roads. The derived results are compared with existing ...
Power Spectrum Estimation in Innovation Models by Nuclear Norm Optimization
(IEEE Computer Society, 2018)
In this paper, identification of discrete-time power spectra of multi-input/multi-output models in innovation form from output-only time-domain measurements is studied. Two regularized nuclear norm minimization-based ...