Searched for: subject%3A%22mass%255C+model%22
(1 - 9 of 9)
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Sleijfer, Josh (author)
Humans are efficient at moving due to their exceptional mastery of bipedal locomotion. Several models have been made that attempt to model the motion of the centre of mass with a spring-mass system with various degree of success. For example, a two dimensional model tracks the height of the centre of mass well and a three dimensional model...
bachelor thesis 2023
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Luteijn, Peter (author)
Research into Aerodynamic Stall Model Identification (ASMI) is an ongoing endeavor to create a model that achieves the highest fidelity, that aids in upset recovery training of pilots in Flight Simulator Training Devices (FSTD). Aircraft come in various configurations, one aircraft stall model cannot sufficiently provide a full understanding...
master thesis 2022
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Tewarie, Prejaas (author), Prasse, B. (author), Meier, Jil (author), Byrne, Áine (author), Di Domenico, Manlio (author), Stam, Cornelis J (author), Brookes, M.J. (author), Hillebrand, Arjan (author), Daffertshofer, Andreas (author), Coombes, Stephen (author), Van Mieghem, P.F.A. (author)
Large-scale neurophysiological networks are often reconstructed from band-pass filtered time series derived from magnetoencephalography (MEG) data. Common practice is to reconstruct these networks separately for different frequency bands and to treat them independently. Recent evidence suggests that this separation may be inadequate, as there...
journal article 2021
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van den Broek, Maarten (author)
Bipedal running gaits may be self-stable if they rely on the intrinsic system dynamics to attenuate deviations. This use of passive dynamics for gait stability has been observed in biological running and applied for running robotics, supported with the results of numerical simulations. It is an important aspect of the development of fast and...
master thesis 2019
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Sun, Junzi (author), Blom, H.A.P. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
This article investigates the estimation of aircraft mass and thrust settings of departing aircraft using a recursive Bayesian method called particle filtering. The method is based on a nonlinear state-space system derived from aircraft point-mass performance models. Using only aircraft surveillance data, flight states such as position,...
journal article 2019
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Wildvank, Roy (author)
Accurate dry mass prediction is essential in early design phases of a launch system. To predict structural mass<br/>of a launch vehicle more accurate at a conceptual design phase, a structural mass model was developed. The model<br/>predicts a launch vehicle’s structural mass, thickness, center of mass and mass moment of inertia. Load carrying...
master thesis 2018
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Sun, Junzi (author), Blom, H.A.P. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
This paper focuses on estimating aircraft mass and thrust setting using a recursive Bayesian method called particle filtering. The method is based on a nonlinear state-space system derived from aircraft point-mass performance models. Using solely ADS-B and Mode-S data, flight states such as position, velocity, and wind speed are collected and...
conference paper 2018
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Linskens, H.T.K. (author)
Recent years have seen a steep increase in research being performed towards active space debris removal: space debris has proven to be a very real threat to operational spacecraft, and studies indicate that the frequency of collisions will only increase if nothing is done to remove large pieces of debris. In particular, ESA has done studies...
master thesis 2015
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De Jong, J.H.H. (author)
master thesis 2014
Searched for: subject%3A%22mass%255C+model%22
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