Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Moritz Diehl"'
Autor:
Lorenz Assländer, Matthias Albrecht, Moritz Diehl, Kyle J. Missen, Mark G. Carpenter, Stephan Streuber
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Sensory perturbations are a valuable tool to assess sensory integration mechanisms underlying balance. Implemented as systems-identification approaches, they can be used to quantitatively assess balance deficits and separate underlying cause
Externí odkaz:
https://doaj.org/article/18eb03245d584eff8591d73a12f122bc
Autor:
Jochem De Schutter, Rachel Leuthold, Thilo Bronnenmeyer, Elena Malz, Sebastien Gros, Moritz Diehl
Publikováno v:
Energies, Vol 16, Iss 4, p 1900 (2023)
In this paper, we present AWEbox, a Python toolbox for modeling and optimal control of multi-aircraft systems for airborne wind energy (AWE). AWEbox provides an implementation of optimization-friendly multi-aircraft AWE dynamics for a wide range of s
Externí odkaz:
https://doaj.org/article/f64407db1fe74ab1bf4bc17365f1cab4
Publikováno v:
Machines, Vol 10, Iss 10, p 900 (2022)
In this paper, a novel feature-based sampling strategy for nonlinear Model Predictive Path Integral (MPPI) control is presented. Using the MPPI approach, the optimal feedback control is calculated by solving a stochastic optimal control (OCP) problem
Externí odkaz:
https://doaj.org/article/526d4455db9741789a7e14e6f2e48cce
Publikováno v:
Sensors, Vol 17, Iss 5, p 1159 (2017)
The rise of autonomous systems operating close to humans imposes new challenges in terms of robustness and precision on the estimation and control algorithms. Approaches based on nonlinear optimization, such as moving horizon estimation, have been sh
Externí odkaz:
https://doaj.org/article/eb17aa514ef24bcab1ea3b32d152248b
Publikováno v:
IEEE Transactions on Control Systems Technology. 31:969-976
Battery systems gain popularity among users in residential household setups. In this setup, currently the main source of profitability is to increase photovoltaic (PV) self-sufficiency which is highly dependent on the battery system efficiency. We pr
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af8b34f7a83b6223914291ac4e0c3cd1
http://arxiv.org/abs/2304.12908
http://arxiv.org/abs/2304.12908
Publikováno v:
IEEE Robotics and Automation Letters. 7:2867-2874
Publikováno v:
IFAC-PapersOnLine. 55:79-84
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).