29 citations · 42 across the 4 of their papers we have counts for
4 papers
Data-Driven Observability Analysis for Nonlinear Stochastic Systems
Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow +2
Distinguishability and, by extension, observability are key properties of dynamical systems. Establishing these properties is challenging, especially when no analytical model is av…
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona Buisson-Fenet, Valery Morgenthaler, Sebastian Trimpe +1
Identifying dynamical systems from experimental data is a notably difficult task. Prior knowledge generally helps, but the extent of this knowledge varies with the application, and…
Towards gain tuning for numerical KKL observers
Mona Buisson-Fenet, Lukas Bahr, Valery Morgenthaler +1
This paper presents a first step towards tuning observers for general nonlinear systems. Relying on recent results around Kazantzis-Kravaris/Luenberger (KKL) observers, we propose…
Actively Learning Gaussian Process Dynamics
Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe
Despite the availability of ever more data enabled through modern sensor and computer technology, it still remains an open problem to learn dynamical systems in a sample-efficient…