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Brouwer, W.S. (author), Wang, Y. (author), van Leijen, F.J. (author), Hanssen, R.F. (author)
InSAR enables the estimation of displacements of (objects on) the earth's surface. To provide reliable estimates, both a stochastic and mathematical model are required. However, the intrinsic problem of InSAR is that both are unknown. Here we derive the Variance-Covariance Matrix (VCM) for double differenced phase observations for an arc, i.e...
conference paper 2023
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Mooren, Noud (author), Witvoet, Gert (author), Oomen, T.A.E. (author)
Data-driven feedforward control for tracking of varying and non-resetting point-to-point references requires continuous updating of feedforward parameters instead of task-by-task updating. The aim of this paper is to develop an adaptive feedforward controller for non-resetting point-to-point motion tasks by a data-driven feedforward...
journal article 2023
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Zhu, G. (author), Dong, J. (author), Bauer, P. (author)
It is ideal for the wireless power transfer (WPT) systems to operate at the resonance state for better transmission performance. In practice, however, the parameters of the resonant circuits often deviate because of the capacitance drift and coil misalignment. To this end, this paper proposes a new parameter estimation method for the WPT systems...
conference paper 2023
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Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon M. (author), van Oort, N. (author), Goverde, R.M.P. (author)
The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict...
journal article 2023
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Lao-Martil, David (author), Verhagen, K.J.A. (author), Valdeira Caetano, Ana H. (author), Pardijs, Ilse H. (author), van Riel, Natal A.W. (author), Wahl, S.A. (author)
Microbial metabolism is strongly dependent on the environmental conditions. While these can be well controlled under laboratory conditions, large-scale bioreactors are characterized by inhomogeneities and consequently dynamic conditions for the organisms. How Saccharomyces cerevisiae response to frequent perturbations in industrial...
journal article 2023
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Irmak, T. (author)
By 2050 a large proportion of the cars on our roads will be self-driving and completely automated. We will no longer be driving these vehicles, but will be transported comfortably as passengers. We will be able to indulge in all sorts of media items in our vehicles, do work, or even just relax and sleep. Indeed, these fully automated vehicles...
doctoral thesis 2022
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Kemmeren, Max (author)
As the application areas of Unmanned Aerial Vehicles (UAVs) keep expanding, new flight areas are encountered more often. Small UAVs, named Micro Air Vehicles (MAVs), even fly in areas like sewage pipes. These areas introduce new difficulties such as aerodynamic effects caused by the ground and/or ceiling. In this paper two main contributions are...
master thesis 2021
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Evensen, Geir (author), Amezcua, Javier (author), Bocquet, Marc (author), Carrassi, Alberto (author), Farchi, Alban (author), Fowler, Alison (author), Houtekamer, Pieter L. (author), Jones, Christopher K. (author), Vossepoel, F.C. (author)
This work demonstrates the efficiency of using iterative ensemble smoothers to estimate the parameters of an SEIR model. We have extended a standard SEIR model with age-classes and compartments of sick, hospitalized, and dead. The data conditioned on are the daily numbers of accumulated deaths and the number of hospitalized. Also, it is possible...
journal article 2021
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van der Voort, J.C. (author)
The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...
bachelor thesis 2020
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Vertregt, Casper (author)
This research applied a Dual Extended Kalman Filter (DEKF) to time-varying human operator (HO) parameter estimation in preview tracking tasks. The preview time parameter was of particular interest, as the amount of preview can be highly variable in practical situations. The filter was centered around a linear cybernetic HO model with six...
master thesis 2020
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Cleij, D. (author)
Humans always wanted to go faster and higher than their own legs could carry them, leading them to invent numerous types of vehicles to move fast over land, water and air. As training how to handle such vehicles and testing new developments can be dangerous and costly, vehicle motion simulators were invented. <br/>Motion-based simulators in...
doctoral thesis 2020
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Obergfell, C.C.A. (author)
The objective of this thesis is twofold: to develop time series analysis methods for the estimation of aquifer parameters and recharge to be used in groundwater models and to develop time series analysis methods for the identification and quantification of a regime change.<br/>In Chapter 2, a pumping test is replaced by time series analysis of...
doctoral thesis 2020
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Dong, Jianfei (author), Wang, T. (author)
Light therapies can be used to treat fungal infections. A general mechanism is attributed to the generation of cytotoxic reactive oxygen species (ROS) due to light stimulation. The effectiveness of these therapies has been widely studied in the literature via conducting biological experiments, where fungi are exposed to light with various...
journal article 2020
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Yao, Yu (author), Huang, Yunkai (author), Peng, Fei (author), Dong, J. (author)
In this article, a position sensorless drive and online parameter estimation method for surface-mounted permanent magnet synchronous machines-based on adaptive full-state feedback current control is proposed. The position sensorless drive is established by the detection of the back-electromotive force in the gamma delta synchronous reference...
journal article 2020
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Vroom, Quinn (author)
The internal model is an important piece of the control system of an autonomous driving vehicle. In order for the model to deliver accurate predictions, a valid model structure and well chosen parameters are needed. Model parameters can be highly fluctuating or complex to predict, especially when looking into tyre ground surface interaction...
master thesis 2019
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Vijn, A.R.P.J. (author), Lepelaars, Eugene (author), Dubbeldam, J.L.A. (author), van Gijzen, M.B. (author), Heemink, A.W. (author)
This paper presents a parameter estimation method to determine the linear behavior of an object constructed of thin plates. Based on the magnetostatic field equations, an integral equation is derived that fully determines the induced magnetization, whenever the spatial magnetic susceptibility distribution is known. This forward problem is...
journal article 2019
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Chugh, T. (author), Bruzelius, F. (author), Klomp, M. (author), Shyrokau, B. (author)
In this paper, a methodology to capture the model-based haptic feedback control reference for closed-loop steering systems is demonstrated. The parameterisation is based on the measurements of open-loop driving manoeuvres for the inertia-spring-damper-friction reference model. The steady-state and transient manoeuvres are used to identify the...
journal article 2019
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Magalhaes de Medeiros, E. (author), Posada Duque, J.A. (author), Noorman, H.J. (author), Filho, Rubens Maciel (author)
Syngas fermentation is one of the bets for the future sustainable biobased economies due to its potential as an intermediate step in the conversion of waste carbon to ethanol fuel and other chemicals. Integrated with gasification and suitable downstream processing, it may constitute an efficient and competitive route for the valorization of...
journal article 2019
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Bertazzi, Andrea (author)
Semi-supervised algorithms have been shown to possibly have a worse performance than the corresponding supervised model. This may be due to a violation of the assumptions on the data that are introduced in most classification systems. We study an approach that was previously shown to have guarantees of improvement for the LDA classifier in terms...
master thesis 2018
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Richa, Eduardo (author)
The detection of unusual behavior plays a crucial role in the prevention of illegal and harmful activities such as smuggling, piracy, arms trading, human trafficking and illegal immigration. Also for military applications, it is useful to detect anomalous behavior to provide an alert for potential threats, especially with the more recent...
master thesis 2018
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