Identification of linear systems: a practical guideline to accurate modeling
Identification of linear systems: a practical guideline to accurate modeling
Automatica (Journal of IFAC)
Vibration data analysis for a commercial aircraft
Automatica (Journal of IFAC)
A new component mode synthesis method: quasi-static mode compensation
Finite Elements in Analysis and Design
Finite Elements in Analysis and Design
A new load-dependent Ritz vector method for structural dynamics analyses: quasi-static Ritz vectors
Finite Elements in Analysis and Design - Special issue on Robert J. Melosh medal competition
Quasi-static data recovery for dynamic analyses of structural systems
Finite Elements in Analysis and Design
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
Frequency Domain Properties of Scalar and Multivariable Feedback Systems
Frequency Domain Properties of Scalar and Multivariable Feedback Systems
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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 to obtain reduced order models for structural systems. An FDI algorithm that determines the coefficients of the reduced order model by using nonlinear least squares (NLS) method and subspace based identification (SBI) method are applied to a sample problem and the results are compared with component mode synthesis (CMS) and quasi-static mode synthesis (QSM) methods. In literature, phase errors of model order reduction techniques have not been studied; however, it is shown in this paper that phase errors are also important in evaluating the performance of model order reduction techniques. In general, the NLS and SBI methods have better performance than the CMS and QSM methods; however, as the size of problems increases, the NLS method may have convergence problems and the SBI method may yield estimated models having large orders.