Automatica (Journal of IFAC)
Matrix computations (3rd ed.)
Automatica (Journal of IFAC)
Analyses, development and applications of TLS algorithms in frequency domain system identification
Proceedings of the second international workshop on Recent advances in total least squares techniques and errors-in-variables modeling
Analyses, Development, and Applications of TLS Algorithms in Frequency Domain System Identification
SIAM Journal on Matrix Analysis and Applications
Improved total least squares estimators for modal analysis
Computers and Structures
Nonlinear gray-box identification using local models applied to industrial robots
Automatica (Journal of IFAC)
Hi-index | 22.15 |
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization. The algorithm is optimized for the parametric characterization of complex high-order multivariable systems requiring a large number of model parameters, including sparse matrix methods and QR-projections for the reduction of computation time and memory requirements. The algorithm supports a multivariable frequency-dependent weighting, which generally improves the quality of the transfer function model estimate. The overall approach is successfully demonstrated for a typical case encountered in experimental structural dynamics modelling (using modal analysis) and compared with related algorithms in order to assess the gain in computational efficiency.