Searched for: contributor%3A%22Mazo%2C+M.+%28mentor%29%22
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Touloujian, Hovsep (author)
Rechargeable Lithium(Li)-Ion Batteries are a ubiquitous element of modern technology, as they pertain to efficient and sustainable energy storage for Electric Vehicles (EVs), as well as wind and solar farms. In the last decades, the production and design of such batteries and their adjacent embedded control, charging, and safety protocols,...
master thesis 2024
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Angyal, Zalan (author)
The rediscovered interest in space exploration has led to plans to establish outposts on the Moon and beyond. The lunar bases currently planned are to be manned incrementally, with robots performing most work. With new trends in robotics, the use of collaborating swarms has become more abundant. To support lunar operation, a distinct area within...
master thesis 2024
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Wolleswinkel, Bart (author)
This thesis addresses the detection and prevention of adversarial attacks on self-triggered control (STC) systems and demonstrates how manipulating the sampling times can be used to provide a secure control framework. Secure control is vital to guarantee both the safety and security of critical infrastructure, which has been the target of...
master thesis 2024
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Trip, Kenrick (author)
With the introduction of autonomous vehicles on public roads, their performance in emergency situations has become a strong focus. Collision Imminent Control (CIC) concerns the planning and control of aggressive evasive maneuvers for collision avoidance of automated vehicles. CIC is implemented using adaptive Nonlinear Model Predictive Control ...
master thesis 2024
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Kockelkoren, Michiel (author)
In recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception...
master thesis 2024
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Looman, Menno (author)
Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...
master thesis 2023
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de Gooijer, Jessica (author)
Reinforcement learning, especially deep reinforcement learning, has made many advances in the last decade. Similarly, great strides have been made in multi-agent reinforcement learning. Systems of cooperative autonomous robots are increasingly being used, for which multi-agent reinforcement learning can be used as a training method. However, the...
master thesis 2023
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Kumaran, Koushik (author)
Loop Robots develops and operates the next generation of fully autonomous disinfection robots in hospitals and healthcare settings. Accurate localization is essential in order to navigate reliably and effectively disinfect the tight hallways and corners of a patient room, operating room, or intensive care unit in a hospital. Odometry, or dead...
master thesis 2023
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Ganchev, Ivaylo (author)
Water scarcity is a persistent global issue that requires effective solutions. One increasingly popular approach to address the distribution of freshwater in different regions is the utilization of Water Irrigation Systems (WIS). Due to their vital role in ensuring people's well-being, it is crucial to design a reliable infrastructure that can...
master thesis 2023
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Li, Yiting (author)
Localization is one of the most fundamental competencies required by an autonomous robot, providing crucial information about its position for decision-making in indoor environments. In the current literature, an indoor localization system utilizes exteroceptive sensors such as GNSS(Global Navigation Satellite System), a camera, or an ultrasonic...
master thesis 2023
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Zwetsloot, Eva (author)
In multi-agent systems reaching consensus has been a long-standing problem. A considerable amount of research has been focused on how event-triggered consensus can be used to limit the energy consumption of the communication system while still ensuring convergence to the neighbourhood of a point or a formation. These algorithms rely on having...
master thesis 2023
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Breysens, G. (author)
This thesis investigates the potential of state-dependent sampling strategies (SDSS) for the control of heavy-haul trains. Event-triggered control (ETC) is a control approach in which data is only sent when some state-dependent condition, the triggering condition, is satisfied. In this way, the number of communications required to stabilise a...
master thesis 2023
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Smit, Henk (author)
Event-Triggered Control (ETC) is a control method where the controller is only updated when necessary. The control inputs are kept fixed until a state-dependent event triggers their re-computation. The triggering condition is designed to guarantee the stability and desired performance of the control system. This prevents the excessive use of...
master thesis 2023
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van der Lely, Lars (author)
Over nine billion people will have to be fed fresh and healthy food in 2050 according to United Nations. This puts pressure on the horticulture sector, responsible for a large portion of the world’s food production. The literature has shown that automatic optimal control algorithms are able to make better use of resources and can even outperform...
master thesis 2022
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Römer, Stijn (author)
Recent developments in \ac{ML} have paved the way for unprecedented possibilities in the field of data analytics in numerous team sports, such as American football, baseball, and basketball. In more recent years, \ac{ML} techniques have been applied to football as professional teams got inspired to collect enormous quantities of data to evaluate...
master thesis 2022
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de Ruijter, Robbert (author)
Control engineering researchers are increasingly embracing data-driven techniques like reinforcement learning for control and optimisation. An example of a case where reinforcement learning could be useful is the synthesis of near-optimal sampling strategies for self-triggered control. Self-triggered control is an aperiodic control method that...
master thesis 2022
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Kerssemakers, Tom (author)
With over 75,000 attributed deaths in 2020, opioid overdose is now the leading cause of death amongst Americans under the age of 50. With record-breaking increases in fatalities for the past 10 years, fentanyl in particular has many experts worried about the future of the opioid epidemic. To reverse opioid overdose there exists a drug called...
master thesis 2022
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Sweering, Tim (author)
In this thesis we investigate the possibilities for applying Koopman methods for reachability analysis. Reachability analysis is a verification process used to determine that a dynamical system starting in an initial set X0 cannot reach a certain set of dangerous states D within a time interval [0,T]. Koopman methods seem promising, because they...
master thesis 2021
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van der Zijden, Tycho van der Zijden (author)
In networked control systems (NCS), the components of the control system communicate over a network, which poses challenges to the control synthesis procedure. Signal sampling is one of those challenges. A typical approach is to sample the signal periodically, but this can be inefficient. Event-triggered control (ETC) is a more efficient way to...
student report 2021
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van Straalen, Ivo (author)
In recent years, Networked Control Systems (NCS) have become more popular, partly because of the increasing accessibility. In NCS, multiple plants and controllers are connected over a wired or wireless shared network, possibly having significant spatial separation. A major issue that arises is network congestion: If too many control loops are...
master thesis 2021
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