57 citations · 132 across the 28 of their papers we have counts for
4 papers · 1 filter
Modeling and identification of uncertain-input systems
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
In this work, we present a new class of models, called uncertain-input models, that allows us to treat system-identification problems in which a linear system is subject to a parti…
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…
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…
An empirical Bayes approach to identification of modules in dynamic networks
Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
We present a new method of identifying a specific module in a dynamic network, possibly with feedback loops. Assuming known topology, we express the dynamics by an acyclic network…