Searched for: subject%3A%22kalman%255C+filter%22
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O'Hara, Kian (author)
In light of our depleting fossil fuel reserves and the relatively `cheap' extraction of oil and in spite of the highly nonlinear nature of reservoirs, waterflooding has become big business. In recent times, the use of numerical reservoir simulation has not only become possible but has increasingly been used in the petroleum industry in the...
master thesis 2021
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Kongurai, Krit (author)
State estimation (SE) is a crucial tool for power system state monitoring since the control center requires a process to deal with a large number of imprecise measurements. Several SE methods have been applied and developed for the electric power system in the transmission level in the past several decades. Meanwhile, SE for the distribution...
master thesis 2021
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Gong, Huaiyang (author)
This project develops and tests algorithms for joint signal processing of data from two radars located on the rooftop of EWI (PARSAX and MESEWI). The particular tasks consist of automatic alignment of radar data in space (2D map) and time by observing moving targets of opportunity in the high-resolution mode. After the data alignment procedure,...
master thesis 2021
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Roberti, Ronald (author)
The shipping industry is forced to reduce its emissions and underwater radiated noise in order to decrease the impact on the environment and limit global warming. Moreover, a low acoustic signature can be lifesaving for a navy ship, especially during submarine on mine threats. To be able to operate as flexible as possible under these threats, a...
master thesis 2021
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Mol, Maaike (author)
The need for accurate estimation of hydrodynamic and water quality model variables arises from the UNITED project, which aims to create high-resolutional forecasting systems for monitoring the cultivation of seaweed and flat oysters and operating of the Belgian pilot of UNITED in the coastal area of the North Sea. Accurate observations of...
master thesis 2021
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van Vondelen, Mees (author)
Offshore Wind Turbine (OWT) structural design can be optimized to reduce structural costs, thereby lowering wind energy costs. Increasing turbine size and further structural cost reduction require more advanced insights into the dynamic system. One practice of analysing these vibrating structures is called Operational Modal Analysis (OMA). OMA...
master thesis 2021
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van Klaveren, Pieter (author)
Online video completion aims to complete corrupted frames of a video in an online fashion. Consider a surveillance camera that suddenly outputs corrupted data, where up to 95% of the pixels per frame are corrupted. Real time video completion and correction is often desirable in such scenarios. Therefore, this thesis improves the Tensor-Networked...
master thesis 2021
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Ruiterkamp, Gilian (author)
In recent years wind turbines have become increasingly large to increase energy yield and cost-effectiveness. This has led to taller turbine towers, subjected to larger loads. As a result, Lagerwey turbines experience lateral tower vibrations at different resonance frequencies. These vibrations result in rotor speed measurement disturbances due...
master thesis 2021
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van der Marel, Martijn (author)
Formation control problems consider a set of mobile agents with the underlying goal of attaining and maintaining a state where the relative positions of agents are stable in accordance with the desired configuration.<br/>Navigation for formation control is typically achieved through localization in a global reference frame, e.g., via GNSS....
master thesis 2021
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de Kanter, Daan (author)
Inertial Measurement Unit (IMU)-based motion capture has gained interest over the years due to its potential to measure human movement in the clinic and on the sports field at low cost. Still, IMU-based motion reconstruction remains a challenging task as these IMU measurements are corrupted by noise and bias. There have been many filtering and...
master thesis 2021
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Sun, Junzi (author), Marinescu, M. (author), Olivares, Alberto (author), Staffetti, Ernesto (author)
Accurate wind information is crucial in air traffic management, for instance, to improve trajectory predictability and precision in controlled time of arrival. Nowadays, air traffic management relies on Numerical Weather Prediction, which usually has a low resolution and low update rate. A potential approach for improving the resolution and...
conference paper 2021
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Teunissen, P.J.G. (author), Khodabandeh, A. (author), Psychas, D.V. (author)
In this contribution, we introduce a generalized Kalman filter with precision in recursive form when the stochastic model is misspecified. The filter allows for a relaxed dynamic model in which not all state vector elements are connected in time. The filter is equipped with a recursion of the actual error-variance matrices so as to provide an...
journal article 2021
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Su, Guigeng (author), Petrov, N. (author), Yarovoy, Alexander (author)
In this paper, we propose a method for continuous monitoring of vital signs-in particular, respiration frequency-with a commercial mm-wave radar. The nearly constant frequency (NCF) model is adopted to represent chest displacement due to respiration and simulate radar response. Based on this model, an extended Kalman filter (EKF) based...
conference paper 2021
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Lopez Restrepo, S. (author), Nino-Ruiz, Elias D. (author), Guzman-Reyes, Luis G. (author), Yarce, Andres (author), Quintero, O. L. (author), Pinel, Nicolas (author), Segers, Arjo (author), Heemink, A.W. (author)
In this paper, we propose an efficient and practical implementation of the ensemble Kalman filter via shrinkage covariance matrix estimation. Our filter implementation combines information brought by an ensemble of model realizations, and that based on our prior knowledge about the dynamical system of interest. We perform the combination of...
journal article 2021
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Mohsan, M. (author), Vardon, P.J. (author), Vossepoel, F.C. (author)
A recursive ensemble Kalman filter (EnKF) is used as the data assimilation scheme to estimate strength and stiffness parameters simultaneously for a fully coupled hydro-mechanical slope stability analysis. Two different constitutive models are used in the hydro-mechanical model: the Mohr-Coulomb (MC) model and the Hardening Soil (HS) model....
journal article 2021
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Wu, Jiansong (author), Cai, Jitao (author), Yuan, S. (author), Zhang, Xiaole (author), Reniers, G.L.L.M.E. (author)
As a kind of clean fuel, increasing quantities of natural gas have been transported as liquefied natural gas (LNG) worldwide. The safety of LNG storage has gained the concerns from the public due to the potential severe consequences that may arise from LNG leakage. In this paper, a three-dimensional model with the combination of computational...
journal article 2021
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Henkel, Martin (author)
Certain Formation Flying missions rely on their orbital control thrusters to maintain the formation, making a Fault Detection and Isolation (FDI) system that is capable of detecting thruster faults very valuable. In addition, communication between satellites in a formation can be expensive. In this thesis, a distributed FDI approach was...
master thesis 2020
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Alforja Ruiz, Iñigo (author)
Space debris is becoming one of the major risks to be suffered by operating and future space missions. Recent studies show that the number of potentially hazardous uncontrolled orbital bodies is growing with time, increasing the probability of impact with operational satellites. To counteract this problem, several studies are being suggested to...
master thesis 2020
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Solanki, Prashant (author)
Quadcopters are becoming increasingly popular across diverse sectors such as mapping, photography, or surveillance. Since rotor damages occur frequently, it is essential to improve the attitude estimation and thus ultimately the ability to control a damaged quadcopter. The Control and Simulation group of TU Delft developed a quadcopter...
master thesis 2020
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Lucassen, Max (author)
Least-squares support-vector-machines are a frequently used supervised learning method for nonlinear regression and classification. The method can be implemented by solving either its primal problem or dual problem. In the dual problem a linear system needs to be solved, yet for large-scale problems this can be impractical as current methods...
master thesis 2020
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