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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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Maes, K. (author), Lourens, E. (author), Van Nimmen, K. (author), Reynders, E. (author), Van den Broeck, P. (author), Guillaume, P. (author), De Roeck, G. (author), Lombaert, G. (author)An existing joint input-state estimation algorithm is extended for applications in structural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of response measurements and a system model. An additional method is proposed to identify the noise statistics, which...conference paper 2013
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Schreiter, T. (author), Van Wageningen-Kessels, F.L.M. (author), Yuan, Y. (author), Van Lint, J.W.C. (author), Hoogendoorn, S.P. (author)Dynamic Traffic Management (DTM) aims to improve traffic conditions. DTM usually consists of two steps: first the current traffic is estimated, then appropriate control actions are determined based on that estimate. In order to estimate and control the traffic, a suitable traffic flow model that reproduces the properties of traffic well must be...conference paper 2012
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Sirige, S.S.B. (author), Blaauwbroek, Niels (author), Rueda, José L. (author), Palensky, P. (author), Lekić, A. (author)The ongoing energy transition introduces new load and generation units like photovoltaic generation in the medium-voltage systems network. These generation units increase the variance of the power injections, resulting in increased stochasticity of the power flow values. For confident assessment of the system’s operating condition, a measurement...conference paper 2021
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Wismansa, Luc (author), de Romph, E. (author), Friso, Klaas (author), Zantema, Kobus (author)Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...conference paper 2014
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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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Nibhanupudi, S.S. (author), Ishchenko, Anton (author), Tindemans, Simon H. (author), Palensky, P. (author)Transition from fossil fuels to sustainable sources of energy like wind and solar is the need of the hour. All over the globe, plans are in motion to achieve this goal. This implies addition of new elements to the grid in the form of Distributed Energy Resources (DERs). These affect the working of distribution grids and to ensure reliable as...conference paper 2022
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Xiao, J. (author), Wang, L. (author), Qin, Z. (author), Bauer, P. (author)Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation...conference paper 2022
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Tatsis, K. (author), Chatzi, Efi (author), Thons, S. (author), Lourens, E. (author)The evaluation of fatigue damage accumulation on wind turbine support structures under operational conditions is heavily influenced by a number of uncertainties. These uncertainties may, firstly, be attributed to the highly variable and complex environmental loads, and secondly, to the unavoidable modelling errors which mainly originate from the...conference paper 2017
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Girrbach, Fabian (author), Kok, M. (author), Zandbergen, Raymond (author), Hageman, Tijmen (author), Diehl, Moritz (author)Robust and accurate pose estimation of moving systems is a challenging task that is often tackled by combining information from different sensor subsystems in a multi-sensor fusion setup. To obtain robust and accurate estimates, it is crucial to respect the exact time of each measurement. Data fusion is additionally challenged when the...conference paper 2020
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Picallocruz, M. (author), Anta, Adolfo (author), De Schutter, B.H.K. (author), Panosyan, Ara (author)In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a...conference paper 2018
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Van Hinsbergen, C.P.Y. (author)This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in Advanced Traffic Information Systems (ATIS), Dynamic Traffic Management (DTM) or Model Predictive Control (MPC) approaches in order to improve the traffic system. As road traffic is the result...doctoral thesis 2010
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Kalbasenka, A.N. (author)Crystallization is one of the oldest separation and purification techniques. Batch crystallizers are widely used in production of fine chemicals, food ingredients, specialty chemicals, and active pharmaceutical ingredients. Control of the crystalline material properties is a challenging task due to complexity and nonlinearity of batch...doctoral thesis 2009
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- Peng, X. (author) doctoral thesis 1996
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Yuan, Y. (author)Road traffic is important to everybody in the world. People travel and commute everyday. For those who travel by cars (or other types of road vehicles), traffic congestion is a daily experience. One essential goal of traffic researchers is to reduce traffic congestion and to improve the whole traffic system operation and the environment. To...doctoral thesis 2013
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van Westering, W.H.P. (author)The volatility of renewable energy sources pose a significant challenge for Distribution Network Operators (DNOs) as it makes planning and maintaining a reliable electricity grid more complex. An essential tool in dealing with the uncertain behavior of renewable energy resources is the load flow simulation, i.e., the standard electricity network...doctoral thesis 2021
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Sun, Junzi (author)A large number of stakeholders exist in the modern air traffic management ecosystem. Air transportation studies benefit from collaboration and the sharing of knowledge and findings between these different players. However, not all parties have equal access to information. Due to the lack of open-source tools and models, it is not always possible...doctoral thesis 2019
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Doekemeijer, B.M. (author)Open-loop wake steering inconsistently improves the energy yield of wind farms in field experiments in the literature. This thesis matures wind farm control technologies for power maximization in a model-based closed-loop framework towards real-world practical applicability. Firstly, open-loop wake steering is evaluated on a commercial onshore...doctoral thesis 2020
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van Erp, P.B.C. (author)Traffic state information is crucial for different applications, e.g., in design and operation of road traffic networks, and in navigation services. Traffic sensing data, e.g., loop-detector data, may directly provide the desired information. Alternatively, the traffic state information may be estimated with data that only provides partial and...doctoral thesis 2020
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Wismans, L. (author), De Romph, E. (author), Friso, K. (author), Zantema, K. (author)Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...journal article 2014