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Oliver Sawodny

Researcher at University of Stuttgart

Publications -  644
Citations -  7417

Oliver Sawodny is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Feed forward & Control theory. The author has an hindex of 34, co-authored 594 publications receiving 5895 citations. Previous affiliations of Oliver Sawodny include Audi & Technische Universität Ilmenau.

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Cooperative and distinct functions of MK2 and MK3 in the regulation of the macrophage transcriptional response to lipopolysaccharide

TL;DR: The results suggest that in BMDM, MK2 and MK3 not only cooperatively regulate the transcript expression of signaling intermediates, including IL-10, IL-19, CXCL2 and the IL-4 receptor (IL-4R)α subunit, they also exert distinct regulatory effects on the expression of specific transcripts.
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Friction modelling of a linear high-precision actuator

TL;DR: In this article, the authors describe friction identification and friction model application for a linear high-precision ball bearing guide driven by a voice coil actuator and using high-resolution position measurement equipment.
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D1244: Design and Construction of the First Adaptive High-Rise Experimental Building

TL;DR: In this paper , an experimental 36.5 m tall high-rise building, called D1244, was designed and completed in 2021 to show the potential of adaptive structures and facades as well as to verify on a real scale the developed systems and the related numerical predictions.
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Control oriented modelling and modal analysis of the deformable mirror M4 of the extremely large telescope

TL;DR: In this paper, the authors derived a mechanical distributed parameter model for the annular sector plate segments of the Extremely Large Telescope's deformable mirror M4 and modally analyzed the model.
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Analysis and optimal sizing of pneumatic drive systems for handling tasks

TL;DR: A detailed system analysis is given, yielding promising optimization parameters, and a discrete-value optimization approach is derived from which the much more efficient gradient-based schemes are suitable for the application to pneumatic drives.