Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Utrecht UniversityNL210 papers
- Delft University of TechnologyNL196 papers
- Centre National de la Recherche ScientifiqueFR195 papers
- Centrum Wiskunde & InformaticaNL163 papers
- University of TwenteNL158 papers
- University of AmsterdamNL113 papers
- Radboud University NijmegenNL89 papers
- University of Rome Tor VergataIT84 papers
- Vrije Universiteit AmsterdamNL79 papers
- Leiden UniversityNL72 papers
- University of GroningenNL58 papers
- Philips (Netherlands)NL56 papers
5 papers · 2 filters
Line failure probability bounds for power grids
Tommaso Nesti, Alessandro Zocca, Bert Zwart
We develop upper bounds for line failure probabilities in power grids, under the DC approximation and assuming Gaussian noise for the power injections. Our upper bounds are explici…
On the Connection Between Different Noise Structures for LPV-SS Models
Pepijn Bastiaan Cox, Roland Tóth
Different representations to describe noise processes and finding connections or equivalence between them have been part of active research for decades, in particular for linear ti…
A new kernel-based approach to system identification with quantized output data
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
In this paper we introduce a novel method for linear system identification with quantized output data. We model the impulse response as a zero-mean Gaussian process whose covarianc…
Alternative Form of Predictor Based Identification of LPV-SS Models with Innovation Noise
Pepijn B. Cox, Roland Tóth
In this paper, we present an approach to identify linear parameter-varying (LPV) systems with a state-space (SS) model structure in an innovation form where the coefficient functio…
Identifiability of linear dynamic networks
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
Dynamic networks are structured interconnections of dynamical systems (modules) driven by external excitation and disturbance signals. In order to identify their dynamical properti…