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Chen, Weiming (author)Research and development of motion control in the field of autonomous driving is significantly increasing nowadays. Model predictive control (MPC) is one of the most powerful and practical tools currently available. It is important to select the parameters of the MPC, such as weights, in a way so that different control objectives can be met...master thesis 2022
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Leeuwenberg, Marijn (author)Inefficient road usage in a traffic network context – i.e. over-saturation on one route, where other roads are still available – is an important problem. It appears often and in different types of situations. We concentrate on congestion caused by predicted temporary road blockades, such as open bridges. This research aims to reduce such...master thesis 2022
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Hudrali Nagendra, Nikhil (author)Conventional active seat controllers target and minimise vibration frequency bands that are uncomfortable to the passenger. These vibrations are in the form of road vibrations which are transmitted to the seat. In addition to fully compensating these vibrations, introducing certain target-induced vibrations in the seat with the help of active...master thesis 2021
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de Vries, Jitske (author)With a growing number of citizens and tourists, the scarce public space, roads, and public transport in Amsterdam are experiencing rising pressure. Instead of utilizing the conventional transportation routes, Autonomous Surface Vessels (ASVs) could transport goods and people via the 165 canals present in Amsterdam. <br/>However, urban canals are...master thesis 2021
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van Hanswijk, Daniel (author)Growth of the population, industry and agriculture increases the demand for fresh water. However, with only a small portion of the water on earth being suitable for direct human use and consumption, this growth makes water scarcity an increasing problem. Seawater desalination is an effective method to counter such water stress. Reverse Osmosis ...master thesis 2021
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Tetteroo, Rogier (author)Virtual Power Plants can aggregate and dispatch distributed energy sources (DER) to gain revenue in the Day-Ahead market, however as a Balancing Responsible Party they can risk imbalance cost due to deviations between the Day-Ahead forecast and actual production of their renewable energy portfolio. This study analyses the ability of industrial...master thesis 2021
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Dhankhar, Rupak (author)This thesis was aimed for the Master of Science degree in Mechanical Engineering at The Delft University of Technology. The goal of this research was to formulate an assignment algorithm for autonomous guidance, control, and navigation system for spacecraft formation flying using a Model Predictive Control approach for estimation of fuel...master thesis 2021
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Wellens, Lotte (author)Model predictive control is an optimal, model-based control method that has the powerful capability of directly including input and output constraints. Next to this, it is known that helicopters are hard to fly with its complex, unstable and highly coupled dynamics. With the introduction of the concept of handling qualities, guidelines for...master thesis 2021
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Westenberger, Jelle (author)Time-optimal model-predictive control is essential in achieving fast and adaptive quadcopter flight. Due to the limited computational performance of onboard hardware, aggressive flight approaches have relied on off-line trajectory optimization processes or non time-optimal methods. In this work we propose a computational efficient model...master thesis 2021
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Meegdes, Jordan (author)This thesis introduces a theory for model-driven objective functions in Model Predictive Control (MPC) algorithms. For scheduling supply chains, such model-driven objective functions allow the MPC algorithm to make optimal scheduling decisions by anticipating future changes in product flow and transfer price dynamics. Including such dynamics...master thesis 2021
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Douma, Gijs (author), Lim, Tom (author), van Rijen, Gijs (author), Vorage, Christian (author), van Wering, Nino (author)This research paper describes the design and implementation of a Model Predictive Controller, using economic engineering principles, on a model of the US economy. The purpose of the Model Predictive Controller is to mimic the US<br/>government policy by maximizing the Net Domestic Product. The Model Predictive Controller is integrated with a...bachelor thesis 2021
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Jeschke, Joost (author)Model Predictive Control (MPC) has shown promising results in the control of urban traffic networks, but has one major drawback. The, often nonlinear, optimization that has to be performed at every control time step is computationally too complex to use MPC controllers for real-time implementations (i.e. when the online optimization is performed...master thesis 2020
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Khalid, Omer (author)Traffic congestion on highways is a multi-sectoral phenomenon affecting society, the economy and the environment. It often takes place at specific locations such as on and off-ramps, weaving segments and intersections. The on-ramp merging procedure is considered as one of the main factors that causes traffic congestion on highways. The studies...master thesis 2020
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Rios Lazcano, Andrea (author)Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this research, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...master thesis 2020
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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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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