Searched for: contributor:"Mazo Espinosa, Manuel (mentor)"
(1 - 12 of 12)
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Rueda Arjona, Antonio (author)
Embedded control systems are processor-based systems that need to run an application for an extended amount of time, such as months or years. Typically, they implement a realtime function to control a system. Embedded systems are implemented using hardware and software to perform an specific task. This is why they can be optimized to reduce its...
master thesis 2019
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Szymanek, Aleksandra (author)
With the recent development of control systems, event-triggered control (ETC) has been introduced to prevent unnecessary usage of resources, which often happens under time-based control implementations. This thesis presents a novel approach to periodic event-triggered control (PETC) that aims at reducing the number of transmissions between the...
master thesis 2019
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Schalkwijk, Paul (author)
As the use of Networked Control Systems increases, the need for control methods with more efficient network usage also grows. These methods require a more sophisticated way of pre- dicting their traffic, and an approach for this is using a formal modelling approach using Timed Automata. Timed Automata have been used for over 25 years for several...
master thesis 2019
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Oskam, Rick (author)
A wet clutch is a device that transfers torque between two shafts via a hydraulic mechanism. Wet clutch control is key to achieve smooth and fast clutch engagements. Optimal control of a wet clutch is not trivial because of the complexity of the system due to nonlinearities, hybrid dynamics and changing dynamics over time due to changing...
master thesis 2019
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Bosma, Stijn (author)
A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...
master thesis 2019
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de Vries, Maarten (author)
Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade this topic has gained extra importance. In the current literature GNSS based pose and localisation is often improved through fusion with either a IMU}or VS with the goal of...
master thesis 2019
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Aarnts, Tom (author)
The rise of vehicle usage causes roads to reach capacity limits. When capacity is reached, traffic jams and accidents are more likely to occur. By raising the efficiency of traffic, the capacity of roads can benefit without the need to expand infrastructure. Automating longitudinal controls of vehicles and creating vehicle platoons show...
master thesis 2019
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Hashish, Ahmed (author)
This thesis covers the implementation of Event-Triggering Control (ETC) on Cooperative Adaptive Cruise Control (CACC). CACC has the potential to increase road capacity, by having safe vehicle following with small intervehicle distance (less than 1 second), to increase traffic flow by eliminating shockwave effects, such that string-stable...
master thesis 2018
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van den Biggelaar, Dirk (author)
<br/>We witness the rise of prosumers: consumers that produce a surplus of energy that can be sup- plied back into the grid. However, for energy-trade between prosumers and consumers, a cen- tralized and undesirable middle-man is still necessary. We developed a method to decentralize essential aspects of energy distribution between households....
master thesis 2018
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van der Heide, Anne (author)
To reduce the number of traffic accidents on the roads, nowadays computers are aiding humans or taking over control from humans in vehicles. The necessity of Advanced Driver-Assistance Systems (ADAS) in vehicles is growing. New vehicles are being equipped with ADAS, like Adaptive Cruise Control (ACC), to avoid head-to-tail collisions. Still,...
master thesis 2018
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Capelle, Lotte (author)
This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used to train the frameworks. The training data contains information obtained from one user over a period of approximately 3 to 30 days. This work is applied to the LEA robot: an...
master thesis 2018
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Krzesiński, Paweł (author)
The capacity of public roads has become a serious problem all over the world. The traffic is constantly increasing, while the capacity remains almost the same. This causes traffic jams and road accidents. An effective way to increase the road throughput employs vehicular platoons, which allow to decrease inter-vehicle distances without...
master thesis 2017
Searched for: contributor:"Mazo Espinosa, Manuel (mentor)"
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