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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.

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Proceedings ArticleDOI

Validation of a new adaptive deformable mirror concept

TL;DR: A new prototype adaptive deformable mirror for future AO-systems is presented that consists of a thin continuous membrane on which push-pull actuators impose out-of-plane displacements.
Journal ArticleDOI

Systematic design of a sawtooth period feedback controller using a Kadomtsev-Porcelli sawtooth model

TL;DR: In this article, a combined Kadomtsev-Porcelli model of a sawtoothing plasma actuated by an electron cyclotron current drive system has been set-up.
Proceedings ArticleDOI

Modeling and identification of an RRR-robot

TL;DR: In this paper, a dynamic model of a robot with 3 rotational degrees of freedom is derived in closed form, and a systematic procedure for estimation of model dynamic parameters is suggested, which consists of the following steps: (i) identification of friction model parameters for each joint; (ii) calculation of optimal exciting trajectories, required for estimating the remaining dynamic model parameters; (iii) estimation of these parameters using a least-squares method.
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A novel ball handling mechanism for the RoboCup middle size league

TL;DR: In this article, the hardware design and control design of a novel ball handling mechanism in the RoboCup Middle Size League used by team Tech United Eindhoven is presented.
Proceedings ArticleDOI

A dynamic state observer for real-time reconstruction of the tokamak plasma profile state and disturbances

TL;DR: A dynamic observer is presented which can reconstruct the internal state of a tokamak fusion plasma, consisting of the spatial distribution of current and temperature, from measurements, by estimating the state of an augmented model which includes additive state disturbances modeled as a random walk.