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Paul M.J. Van den Hof

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY3
  • math.OC1
ORCID 0000-0003-2114-9739

identity via Semantic Scholar / OpenAlex

activity
20212026
collaborators

4 papers

eess.SY2026

Modelling and identification of diffusively coupled linear networks with additional directed links

E. M. M., Kivits, Paul M. J. Van den Hof

Dynamic networks consist of interconnected dynamical systems. The subsystems can be viewed as transformations of input signals into output signals, where signals flow from one syst…

eess.SY2024

A frequency-domain approach for estimating continuous-time diffusively coupled linear networks

Desen Liang, E. M. M., Kivits +2

This paper addresses the problem of consistently estimating a continuous-time (CT) diffusively coupled network (DCN) to identify physical components in a physical network. We devel…

math.OC2022

Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds

Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof

Modeling and control of dynamical systems rely on measured data, which contains information about the system. Finite data measurements typically lead to a set of system models that…

eess.SY2021

A frequency domain approach for local module identification in dynamic networks

Karthik R. Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens +1

In classical approaches of dynamic network identification, in order to identify a system (module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output (M…

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