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in 't Veld, Niels (author)
Optimal control is a paradigm for solving optimization problems involving dynamical systems, which are to be controlled. It is able to solve fish harvesting problems, in which we want to optimize harvesting out-take by considering fishing as a control function that acts on the state of the dynamical system, which represents the growth of fish...
master thesis 2022
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Dimanidis, Ioannis (author)
We propose a novel method combining elements of supervised- and Q-learning for the control of dynamical systems subject to unknown disturbances. By using the Inverse Optimization framework and in-hindsight information we can derive a causal parametric optimization policy that approximates a non-causal MPC expert. Furthermore, we propose a new...
master thesis 2021
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van Adrichem, Romeo (author)
Due to the short shelf-life of flowers (circa 7 days) good inventory management is required to minimize disposals. The trade-off between supplying enough to meet demand yet not too much to prevent expiration is a delicate matter. However, in the current situation uncertainty about inventory levels due to inadequate information and conventional...
master thesis 2021
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Suresh Kumar, Sandeep (author)
It is anticipated that for the automated driving industry to grow, public acceptance is required. The trust and acceptance of automated vehicles are primarily dependent on the travelling experience of people. In automated vehicles, passengers are expected to be engaged in non-driving tasks that are likely to decrease their predictability of the...
master thesis 2021
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Chotalal, Rohan (author)
For most robotics applications, optimal control remains a promising solution for solving complex control tasks. One example is the time-optimal flight of Micro Air Vehicles (MAVs), where strict computational requirements fail to resolve such algorithms onboard. Recent work on the use of deep neural networks for guidance and control (G&CNets)...
master thesis 2021
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Klein Schiphorst, Jonathan (author)
Stability, safety and optimality are often sought-after properties in the field of controller synthesis. In the last century, linear control theory has matured to a level where scalable algorithms are widely available that are able to synthesize controllers with stability and optimality guarantee. However, the synthesis of safe controllers...
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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Muniyandi, Raj Kumar (author)
Growth of mobility for people and goods transportation has been increasing steadily over the years. With the perpetual increase in number of road vehicles, comes the inevitable problems of traffic and pollution. Various intelligent traffic technologies and strategies have been proposed and implemented over the years to...
master thesis 2020
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Agarwal, Achin (author)
The successful integration of autonomous vehicles (AVs) in human environments is highly dependent on their ability to navigate safely and timely through dense traffic conditions. Such conditions involve a diverse range of human behaviors, ranging from cooperative (willing to yield) to non-cooperative human drivers (unwilling to yield) that need...
master thesis 2020
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van der Niet, A.M. (author)
Minimum-time optimisation has been used extensively in motorsports, such as Formula One racing. Using minimum-time optimisation, the ideal racing line as well as control strategies such as braking strategies can be found. This is interesting, as Reijne et al have shown that cyclists apply diverse strategies, specifically during a descent [1]....
master thesis 2020
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George, Ashwin (author)
Robotic assistance for rehabilitation has benefited from the use of models for motor adaptation. The assist-as-needed paradigm for rehabilitation robotics was based on a single-state model of human adaptation to a neurological handicap. Recent studies have shown that human motor adaptation consists of two or more parallel adaptation processes. A...
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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de Boer, Roderick (author)
This paper presents time-optimal transfer trajectories between planar solar-sail displaced libration point orbits around the $L_1$ and $L_2$ points of the Sun-Earth and Earth-Moon systems. Initial guesses for these transfers are generated as two-segment trajectories, with a fixed sail attitude along each segment. The position and velocity...
master thesis 2020
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de Wringer, Sam (author)
It is the aim of this research to assess the mission performance of a boxwing aircraft by developing a configurationagnostic, multifidelity optimal control toolbox for performance and mission analysis. The boxwing aircraft, sometimes named a PrandtlPlane (PrP), is an unconventional aircraft. An instance with redundant controls is designed within...
master thesis 2020
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Janssen, Jaap (author)
Due to the rapid growth of air traffic and the corresponding increase in demanded landing capacity of airports, much research has been done on arrival scheduling and approach trajectory optimization aiming to not only maximize the effective runway throughput of an airports runway system but also significantly reduce fuel consumption. This thesis...
master thesis 2019
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Sekoor Lakshmana Sankar, Prajish (author)
Wheeled-legged (hybrid) robots have the potential for highly agile and versatile locomotion in any real-world application requiring rapid, long-distance mobility skills on challenging terrain. The ability to walk and drive simultaneously is an attractive feature of these hybrid systems, but is unexplored in literature. This thesis work presents...
master thesis 2019
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Mulder, Justin (author)
This thesis develops a method to forecast the cash flows that determine the value of an enterprise. From a control engineers perspective, three stages arise to develop such a method: the research, the system and the control part. The research part presents the results of a control theoretic analysis of PricewaterhouseCoopers’ (PwC) valuation...
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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Tsutsunava, Nick (author)
Kinodynamic planning is motion planning in state space and aims to satisfy kinematic and dynamic constraints. To reduce its computational cost, a popular approach is to use sampling based methods such as RRT with off-line machine learning for estimating the steering cost and inputs. However, scalability and robustness are still open challenges...
master thesis 2018
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Cirera Rocosa, Ricard (author)
This MSc. thesis explores the design and implementation of a motion planner for non-holonomic autonomous vehicles in parking spaces. The planner must avoid collisions with static obstacles, satisfy performance, comfort and safety constraints for the motion, satisfy the non-holonomic constraints of the vehicle model, consider the dynamics of the...
master thesis 2018
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