M
M Maarten Steinbuch
Researcher at Eindhoven University of Technology
Publications - 631
Citations - 13231
M Maarten Steinbuch is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Control theory & Robust control. The author has an hindex of 51, co-authored 630 publications receiving 11892 citations. Previous affiliations of M Maarten Steinbuch include Nanyang Technological University & Delft University of Technology.
Papers
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Modal framework for closed-loop analysis of over-actuated motion systems
TL;DR: In this paper, the authors introduce a framework to analyze multivariable controllers for over-actuated motion systems in modal form, which enables them to analyze various closed-loop properties, such as modal tracking behavior and modal disturbance attenuation.
Proceedings ArticleDOI
Large adaptive deformable membrane mirror with high actuator density
TL;DR: In this article, an adaptive deformable mirror concept is presented, which consists of a thin (30-50 μm) highly reflective, deformable membrane and is supported by an optimized light and stiff honeycomb sandwich structure.
Journal ArticleDOI
Technical communique: Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems
TL;DR: This paper shows that the generalized frequency response function (GFRF) and the higher order sinusoidal input describing function (HOSIDF) for polynomial Wiener-Hammerstein systems are explicitly related, assuming the linear dynamics are known.
Book ChapterDOI
Sharing open hardware through ROP, the Robotic Open Platform
Janno Lunenburg,Robin Soetens,Ferry Schoenmakers,Paul Metsemakers,René van de Molengraft,M Maarten Steinbuch +5 more
TL;DR: The Robotic Open Platform is introduced, a redesign of an existing soccer robot by a consortium of the authors' university and companies in the wider Eindhoven area, allowing researchers to focus on cutting-edge research on a particular component instead of having to design the entire robot from scratch.
Journal ArticleDOI
Extremum seeking control with adaptive disturbance feedforward
TL;DR: In this article, an adaptive extremum seeking disturbance feedforward is designed that approximates the unknown, static mapping between the disturbances and the optimal inputs, which enables the extremum seek to be conducted in the proximity of the generator's extremum thus yielding improvements both in terms of accuracy and increased convergence speed compared to the traditional scheme.