activity
20162018
most citedOptimal model order reduction with the Steiglitz-McBride method for open-loop data

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2018

Weighted Null-Space Fitting for Identification of Cascade Networks

Miguel Galrinho, Riccardo Prota, Mina Ferizbegovic +1

For identification of systems embedded in dynamic networks, applying the prediction error method (PEM) to a correct tailor-made parametrization of the complete network provided asy…

eess.SY2017

Estimating Models with High-Order Noise Dynamics Using Semi-Parametric Weighted Null-Space Fitting

Miguel Galrinho, Cristian R. Rojas, Hakan Hjalmarsson

Standard system identification methods often provide inconsistent estimates with closed-loop data. With the prediction error method (PEM), this issue is solved by using a noise mod…

eess.SY2017

Parametric Identification Using Weighted Null-Space Fitting

Miguel Galrinho, Cristian R. Rojas, Hakan Hjalmarsson

In identification of dynamical systems, the prediction error method using a quadratic cost function provides asymptotically efficient estimates under Gaussian noise and additional…

eess.SY2016★ 3 cited

Optimal model order reduction with the Steiglitz-McBride method for open-loop data

Niklas Everitt, Miguel Galrinho, Håkan Hjalmarsson

In system identification, it is often difficult to find a physical intuition to choose a noise model structure. The importance of this choice is that, for the prediction error meth…

eess.SY2016

ARX modeling of unstable linear systems

Miguel Galrinho, Niklas Everitt, Håkan Hjalmarsson

High-order ARX models can be used to approximate a quite general class of linear systems in a parametric model structure, and well-established methods can then be used to retrieve…