Control framework for muscle-driven systems : exploiting bi-articular muscles in antagonistic setups to reduce control complexity and solve the muscle redundancy problem
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%0 Thesis
%1 wolfen2022control
%A Wolfen, Simon
%B CBB
%C Stuttgart
%D 2022
%I Institut für Modellierung und Simulation Biomechanischer Systeme
%K
%N 002
%R 10.18419/opus-13846
%T Control framework for muscle-driven systems : exploiting bi-articular muscles in antagonistic setups to reduce control complexity and solve the muscle redundancy problem
@phdthesis{wolfen2022control,
added-at = {2023-12-21T12:25:03.000+0100},
address = {Stuttgart},
author = {Wolfen, Simon},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ca1ad61d34040f88caa196909b57a93d/unibiblio-3},
doi = {10.18419/opus-13846},
eventdate = {2023-08-04},
interhash = {5099784ac1cd090c79249d9cb88a0337},
intrahash = {ca1ad61d34040f88caa196909b57a93d},
keywords = {},
language = {eng},
number = 002,
publisher = {Institut für Modellierung und Simulation Biomechanischer Systeme},
school = {Universität Stuttgart},
series = {CBB},
supervisor = {Schmitt, Syn},
supervisorgnd = {132672871},
timestamp = {2023-12-21T11:25:03.000+0100},
title = {Control framework for muscle-driven systems : exploiting bi-articular muscles in antagonistic setups to reduce control complexity and solve the muscle redundancy problem},
type = {Dissertation},
year = 2022
}