3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas +1
Substantial improvement in accuracy of identified linear time-invariant single-input multi-output (SIMO) dynamical models is possible when the disturbances affecting the output mea…