Frequency Response Function identification for multivariable motion control: Optimal experiment design with element-wise constraints

N Dirkx, J van de Wijdeven, T Oomen - Mechatronics, 2020 - Elsevier
Abstract Frequency Response Functions (FRFs) are essential in mechatronic systems and
its application ranges from system design and validation to controller design and …

Data informativity for the open-loop identification of MIMO systems in the prediction error framework

K Colin, X Bombois, L Bako, F Morelli - Automatica, 2020 - Elsevier
Abstract In Prediction Error identification, to obtain a consistent estimate of the true system, it
is crucial that the input excitation yields informative data with respect to the chosen model …

Data informativity for the prediction error identification of MIMO systems: identification of a MEMS gyroscope

K Colin - 2020 - theses.hal.science
Mathematical models have a crucial place in every engineering field. They can be used for
several purposes such as the design of a controller, the prediction, the health monitoring of a …

Optimal input design for system identification using spectral decomposition

S Mohan, M Im, B Bhikkaji - International Journal of Control, 2020 - Taylor & Francis
The aim of this paper is to design a band-limited optimal input with power constraints for
identifying a linear multi-input multi-output system, with nominal parameter values specified …

Multivariable experiment design with application to a wafer stage: a sequential relaxation approach for dealing with element-Wise constraints

N Dirkx, T Oomen - IFAC-PapersOnLine, 2020 - Elsevier
Abstract Optimal Experiment Design (OED) is an essential aspect in accurate Frequency
Response Function (FRF) identification of complex systems. The aim of this paper is to …

[引用][C] Multivariable experiment design for complex motion systems: Convex relaxation-based approaches for dealing with element-wise constraints. 2020

N Dirkx, J van de Wijdeven, T Oomen