Searched for: subject%3A%22modellering%22
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Saparia, Smit (author)
The progress in technology has made vehicles safer and the quest to make them even more safe is never ending. Autonomous cars present the solution to make cars much more safer by eliminating the primary cause of road accidents, human error. However, autonomous cars tend to fail in decision making especially in complex traffic environment...
master thesis 2020
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Khusro, Yash Raj (author)
Driving simulators are widely used for understanding Human-Machine Interaction, driver behavior and driver training. The effectiveness of such simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion cueing strategies have provided reasonable results, these methods...
master thesis 2020
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Aydin, B.E. (author)
POLDERS are low-lying and artificially drained areas surrounded bywater storage canals. In low-lying delta areas such as theMississippi delta in Louisiana (USA), the Ganges-Brahmaputra delta (Bangladesh), or the Rhine-Meuse delta (The Netherlands), polders experience surface water salinization problem due to saline groundwater exfiltration,...
doctoral thesis 2020
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Iyer, Kunal (author)
In this project, a unique method of combining online learning with model predictive control is applied to autonomous racing. A concern in autonomous racing is that accurate models that encapsulate the dynamics of the vehicle are complex, nonlinear, and difficult to identify. In order to make this more practical for control purposes, the...
master thesis 2020
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van Pampus, M.J. (author)
Formation control of autonomous surface vessels (ASVs) is researched extensively in the last years, since it has promising applications. However very few designed strategies have been validated during real experiments. In this research, two<br/>control methods for distributed leader-follower formation control are proposed: A Nonlinear Model...
master thesis 2020
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ANTONOPOULOS, SPYROS (author)
In the present study, a Model Predictive Control (MPC) - based, Energy Management Strategy (EMS) is proposed, aiming at the minimisation of the fuel consumption of vessels with hybrid propulsion and power supply. This approach is capable of utilising online information regarding realistic future predictions of the propulsive power demand,...
master thesis 2020
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Govers, Jurriaan (author)
This thesis is focused on protecting sensitive data in optimization-based control methods. We propose a novel Privacy-preserving Model Predictive Controller (PMPC) where multiple agents are controlled by an untrusted external coordinator. By using the Paillier additively Homomorphic Encryption (HE) scheme, our PMPC allows the coordinator to...
master thesis 2020
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Spruit, Thomas (author)
Externalities of conventional energy sources encourage a transition to a sustainable energy system. Both the intermittency of renewable energy sources and the carbon-intensity of the heat sector challenge this transition. In the context of heat and renewable power integration, this report focuses on balancing uncertain wind power production...
master thesis 2020
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Croll, Ewoud (author)
Social Navigation is the task of robot motion planning in an environment shared with humans.This is an especially hard sub-problem of motion planning because the planner has to dealwith a dynamic, continuous and unpredictable environment. We present a local motionplanner, namely Neural Network Model Predictive Control, for autonomous ground...
master thesis 2020
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Looye, Nathan (author)
Portable Oxygen Concentrators (POCs) are devices that produce oxygen-enriched air, by selectively filtering nitrogen out of ambient air with a cyclic process called Pressure Swing Adsorption (PSA). The current control method is to adjust the timings of the process by means of lookup tables, such that the POC operates as efficient as possible....
master thesis 2020
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Kaya, Oguzhan (author)
All over Europe, the expansion of renewable energy sources is quickly proceeding, fueled by environmental and political motives. The power generated by renewables is heavily subject to the intermittency of the source, e.g. the availability of wind or solar irradiance. Consequently, electrical grids that rely on renewable sources alternate...
master thesis 2020
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Hipolito, Tomas (author), Nabais, Joao Lemos (author), Botto, Miguel Ayala (author), Negenborn, R.R. (author)
This paper proposes three different formulations of a centralized Model Predictive Control framework to manage the logistics of continuous-flow Supply Chains subject to fluctuating demand. The Supply Chain is modeled as a dynamical system composed of several players handling commodities from the production phase to the retail phase....
journal article 2020
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Kaya, Oguzhan (author), Van Der Roest, Els (author), Vries, Dirk (author), Keviczky, T. (author)
This paper presents the application of Hierarchical Model Predictive Control (HMPC) as an energy management framework for a multi-timescale mixed-energy system, i.e., Power-to-X (PtX). The goal of the energy managing controller is to minimize an economic objective by determining the energy flows within the system. HMPC enables a long-term...
conference paper 2020
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Vos, Daniël (author)
A switching max-plus linear model is a framework to describe the discrete dynamics of the timing of events. To influence these systems one can choose the routes of jobs and the orderings of operations as input for the system. In this thesis the techniques of model predictive control are used to find good input values. The problem of finding the...
master thesis 2019
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van Namen, Rick (author)
The trajectory tracking efficiency of a quadrotor Micro Aerial Vehicle (MAV) position controller is decreased by discrete jumps in the pose estimate provided by a localization algorithm. This paper presents a solution to this problem by first introducing a new quadrotor MAV position control architecture followed by two methods that can...
master thesis 2019
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Todorović, Ugljesa (author)
Due to the yearly increase in the number of vehicles and the need for transportation, traffic congestion has become a crucial problem in today's society. There is a need for a sustainable solution to reduce or even eliminate traffic jams. Freeway traffic control has shown to be a sustainable solution to this problem. Especially the...
master thesis 2019
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Michalak, Chris (author)
Traditional electric power systems with large centralized base load power plants have a limited ability to react rapidly to the high supply variability associated with the increasing deployment of variable and intermittent renewable energy sources (RESs). Furthermore, with current power distribution networks primarily designed for unidirectional...
master thesis 2019
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Chowdhri, Nishant (author)
The automotive sector has seen a rapid transition towards autonomous driving with an aim to achieve SAE Level 5 vehicle. The incessant drive for innovation has resulted in modern passenger cars equipped with plethora of control technologies such as ABS, VSC, AFS via EPS assist etc. all working respectively in various critical and non-critical...
master thesis 2019
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Ranneh, Mohamad Amr (author)
Objects floating on or near the water surface (e.g. vessels, and floating wind-turbines) suffer from motions induced by waves of varying height, direction, and frequency. This not only causes unpleasantness for passengers and crew of ships but also it limits the accessibility to the offshore platforms. Bosch Rexroth with their partner Barge...
master thesis 2019
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Lucassen, Koen (author)
An analysis of attitude controller concepts, including four attitude flight controllers, for the re-entry of the HORUS-2b. The four concerning attitude flight controller concepts are the benchmark Linear Quadratic Regulator (LQR), Model predictive Controller, Incremental Non-linear Dynamic Inversion (INDI) and Sliding Mode Controller. Each...
master thesis 2019
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