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Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error...
conference paper 2020
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Pretagostini, Francesco (author), Ferranti, L. (author), Berardo, Giovanni (author), Ivanov, Valentin (author), Shyrokau, B. (author)
Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-based control strategies. ABS performance, however, can be significantly improved thanks to many recent technological developments. This work presents an extensive review of the state of the art to verify such a statement and quantify the benefits...
journal article 2020
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Mulders, S.P. (author), Hovgaard, Tobias Gybel (author), Grunnet, Jacob Deleuran (author), van Wingerden, J.W. (author)
With the ever increasing power rates of wind turbines, more advanced control techniques are needed to facilitate tall towers that are low in weight and cost-effective but in effect more flexible. Such soft-soft tower configurations generally have their fundamental side-side frequency in the below-rated operational domain. Because the turbine...
journal article 2020
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Kassing, R.C. (author), De Schutter, B.H.K. (author), Abraham, E. (author)
Distributing water optimally is a complex problem that many farmers face yearly, especially in times of drought. In this work, we propose optimization‐based feedback control to improve crop yield and water productivity in agriculture irrigation for a plantation consisting of multiple fields. The interaction between soil, water, crop (sugarcane...
journal article 2020
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Alavi, F. (author)
In this thesis, we design control algorithms for power scheduling of a fleet of fuel cell cars in a microgrid. Fuel cell cars are a relatively new type of vehicles. The driving force of these cars comes from an electrical motor and in order to generate the required electricity for the operation of the motor, the vehicle is equipped with a fuel...
doctoral thesis 2019
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Lin, X. (author)
This thesis provides tools for decision support systems for perishable goods logistics. It also provides an approach for enterprises to estimate the benefit of adopting the proposed logistic systems. Perishable products are produced, transported, and consumed all over the world. Thanks to perishable goods supply chains, we can enjoy safe, fresh,...
doctoral thesis 2019
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van de Weg, Goof Sterk (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), De Schutter, B.H.K. (author)
Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...
journal article 2019
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Su, Z. (author)
Maintenance is crucial for the proper functioning and lifetime extension of a railway infrastructure network, which is composed of various infrastructures with different functions. In this thesis we develop robust and tractable model-based approaches for maintenance optimization of railway infrastructure networks. In addition, we develop a...
doctoral thesis 2018
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Zhang, Yihuan (author), Lin, Q. (author), Wang, Jun (author), Verwer, S.E. (author), Dolan, John M. (author)
Car-following is the most general behavior in highway driving. It is crucial to recognize the cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this paper, a method of behavior estimation is proposed to recognize and predict the lane change intentions based on the contextual traffic information. A model...
journal article 2018
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Luo, R. (author)
This thesis aims at developing efficient methods for control of large-scale systems by employing state-of-the-art control methods and optimization techniques. This thesis is divided into two parts. In the first part, we address dynamic traffic routing for urban transportation networks. In the second part, we address multi-agent model predictive...
doctoral thesis 2016
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Liu, S. (author)
In Model Predictive Control (MPC) for traffic networks, traffic models are crucial since they are used as prediction models for determining the optimal control actions. In order to reduce the computational complexity of MPC for traffic networks, macroscopic traffic models are often used instead of microscopic traffic models. These macroscopic...
doctoral thesis 2016
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Portilla, C (author), Valencia, F (author), Espinosa, J (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)
In this paper, a model predictive control approach for improving the efficiency of bicycling as part of intermodal transportation systems is proposed. Considering a dedicated bicycle lanes infrastructure, the focus in this paper is to optimize the dynamic interaction between bicycles and vehicles at the multimodal urban traffic intersections. In...
journal article 2016
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Kersbergen, B. (author)
The operation of many systems can be described by the timing of events. When the system behavior can be described by equations that are "linear'' in the max-plus algebra, which has maximization and addition as its basic operations, the system is called a max-plus-linear system. In many of these systems the order of the events may need to be...
doctoral thesis 2015
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Nunez Vicencio, A.A. (author), Ocampo-Martinez, C. (author), Maestre, J.M. (author), De Schutter, B.H.K. (author)
The Non-Centralized Model Predictive Control (NC-MPC) framework refers in this paper to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we...
journal article 2015
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Wang, M. (author)
This thesis deals with a model predictive control framework for control design of Advanced Driver Assistance Systems, where car-following tasks are under control. The framework is applied to design several autonomous and cooperative controllers and to examine the controller properties at the microscopic level and the resulting traffic flow...
doctoral thesis 2014
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Han, Y. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)
We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). The main objective is to maximize the throughput of the network by guiding traffic flow towards to insufficiently utilized infrastructures. Due to the linear property of the LQMPC, it is fast enough for real...
conference paper 2014
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Bajracharya, G. (author)
The electricity grid is one of the most complex systems created by human beings. It consists of an intricate network of components such as generators, transmission and distribution lines, transformers, breakers, various controllers, and various measurement and monitoring systems. The grid has been going through significant changes in past...
doctoral thesis 2014
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Le, T. (author), Vu, H.L. (author), Vo, B. (author), Hoogendoorn, S.P. (author)
Advancements in the efficiency, quality and manufacturability of sensing and communication systems are driving the field of intelligent transport systems (ITS) into the twenty first century. One key aspect of ITS is the need for efficient and robust integrated network management of urban traffic networks. This paper presents a general model...
journal article 2013
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Xu, M. (author)
Fresh water supply and flood protection are two central issues in water management. Society needs more and more fresh water and a safe water system to guarantee a better life. A more severe climate will result in more droughts and extreme storms. As a consequence, salt water intrusion will increase. Therefore, clean and fresh water is becoming...
doctoral thesis 2013
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Safaei Farahani, S. (author)
Stochastic max-plus systems belong to a special class of discrete-event systems. This class consists of systems with synchronization but no choice and the models of such systems are defined using the operators maximization and addition. Stochastic max-plus systems can be further extended to stochastic switching max-plus systems and stochastic...
doctoral thesis 2012
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