50 citations · 226 across the 23 of their papers we have counts for
4 papers · 1 filter
A behavioral approach for LPV data-driven representations
Chris Verhoek, Ivan Markovsky, Sofie Haesaert +1
In this paper, we present a data-driven representation for linear parameter-varying (LPV) systems, which can be used for direct data-driven analysis and control of such systems. Sp…
Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form
Chris Verhoek, Roland Tóth
We propose kernel-based approaches for the construction of a single-step and multi-step predictor of the velocity form of nonlinear (NL) systems, which describes the time-differenc…
Learning-based model augmentation with LFRs
Jan H. Hoekstra, Chris Verhoek, Roland Tóth +1
Nonlinear system identification (NL-SI) has proven to be effective in obtaining accurate models for highly complex systems. In particular, recent encoder-based methods for artifici…
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control
Chris Verhoek, Jaap Eising, Florian Dörfler +1
A promising step from linear towards nonlinear data-driven control is via the design of controllers for linear parameter-varying (LPV) systems, which are linear systems whose param…