Searched for: mods_note_programme_s:"Systems%5C+and%5C+Control"
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Martinez Claramunt, F. (author)
Multi-robot motion planning without a central coordinator usually relies on the sharing of planned trajectories among the robots via wireless communication in order to achieve predictive collision avoidance. Path planners found in the literature that feature this scheme usually boast levels of performance comparable with their centralized...
master thesis 2020
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Hajee, B. (author)
The built environment is becoming healthier, smarter and more energy efficient during the transition to green building activity. Multi-sensor networks are a promising component of this transition, provided that their measurements are reliable. The reliability of the data is a real concern for DWA, as they use it for control purposes as well as...
master thesis 2020
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Sarawgi, Saket (author)
Flat steel strip processing is carried out through a sequence of continuous methods, commonly recognized as hot rolling, pickling, cold rolling, annealing, and hot-dip galvanizing. Among all these processes, hot-dip galvanizing is a process that has been popularly used to produce high quality galvanized cold-rolled sheets that are extensively...
master thesis 2020
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Lucassen, M.J. (author)
Least-squares support-vector-machines are a frequently used supervised learning method for nonlinear regression and classification. The method can be implemented by solving either its primal problem or dual problem. In the dual problem a linear system needs to be solved, yet for large-scale problems this can be impractical as current methods...
master thesis 2020
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Vermeer, R.F.T. (author)
In this thesis, we consider the problem of controlling multiple autonomous vehicles in a highway scenario, via MPC. By iteratively solving a motion planning OCP, MPC is perfectly suited for unknown dynamic environments, while optimally computing path and vehicle inputs. Moreover, MPC can ensure the satisfaction of collision avoidance constraints...
master thesis 2020
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Trevisan, E. (author)
Microscopic imaging has a resolution that is often far from the diffraction limit due to aberrations induced by the optics or by the sample itself. It is therefore of interest sensing these aberrations either directly or indirectly to improve image quality in post-processing or with adaptive optics. To avoid the use of extra hardware, several...
master thesis 2020
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Lont, J.J. (author)
The application of optimal control structures for water irrigation systems (WISs) can be enabled by applying wireless event-triggered control (ETC). The term WIS, is used to describe open-water channels, that are mainly used to supply water to farmers all around the world. The water levels in these channels need to be controlled, but because of...
master thesis 2020
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Akhtar, S.A. (author)
Data driven learning has become a common practice in many decision making applications. Machine learning techniques are the dominant methods employed but have limitations with respect to constraints satisfaction. A learning method is presented to learn the mapping from an input space to an action space, which is particularly suitable when the...
master thesis 2020
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Valletta, P. (author)
Interactive machine learning describes a collection of methodologies in which a human user actively participates in a novice agent’s learning process, through providing corrective or evaluate feedback or demonstrative actions. A primary assumption in these methods is that user input is at worst nearoptimal, however a realistic set of...
master thesis 2020
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Bakos, M. (author)
In the field of biomedical imaging, images often report a combination of biologically induced variation, usually the goal of the imaging process (e.g. outlining an anatomical region or disease pattern), and non-biological variation, such as instrument or acquisition method-induced noise patterns. <br/>Since some medical decisions are made based...
master thesis 2020
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Mutters, D. (author)
This report presents the results of the graduation thesis from the TU Delft, performed at TNO unit Defence, Safety and Security, expertise group Weapon Systems. The goal of this graduation project is to develop a controller for a projectile equipped with the Precision Guidance Kit (PGK). The PGK is a Course Correction Fuze which can be used to...
master thesis 2020
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Colaço Baptista Cerqueira, Paulo (author)
The visualization of objects within or beyond a turbulent medium is hampered by the aberrations the medium induces in the wavefront. The sharpness of an image is maximal when the incoming wavefront is flat, with aberrated wavefronts yielding distorted images of limited utility. In the particular case of astronomy, the flat wavefront of the light...
master thesis 2020
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Khan, Tiamur (author)
Visual surveillance technologies are increasingly being used to monitor public spaces. These technologies process the recordings of surveillance cameras. Such recordings contain depictions of human actions such as "running", "waving", and "aggression". In the field of computer vision, automated detection of human actions in videos is known as...
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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Anninga, Jordy (author)
A Ball Balancing Robot (BBR) is a highly agile machine which is an unstable system. To stabilize, it uses three omni wheels connected to motors as an input of the system. Since it has less inputs than outputs, the BBR is an underactuated system. Due to the underactuated character and the non-minimum phase plant, the BBR is an interesting...
master thesis 2019
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Brummelhuis, Karst (author)
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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Trombitás, Daniel (author)
Commercial heavy vehicles are especially prone to rolling over due to their inherent properties, such as the high centre of gravity - track width ratio and compliant chassis frame. Autonomous trucks cannot become widespread without eliminating this danger by guaranteeing rollover-free vehicle motion. Currently existing Roll Stability Control...
master thesis 2019
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Arnaoutis, Vasos (author)
Deep Learning performance dependents on the application and methodology. Neural Networks with convolutional layers have been a great success in multiple tasks trained under Supervised Learning algorithms. For higher dimensional problems, the selection of a deep network architecture can significantly improve the accuracy of the network, however...
master thesis 2019
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Li, Xiajing (author)
Multi-Agent Systems, often referred to a network of loosely connected autonomous units, are widely used to model the dynamics of crowds, vehicles, robots and swarms in traffic management, biological environment, distributed control and communication technologies. Recently, the study of multi-agent systems is rapidly growing due to the beneficial...
master thesis 2019
Searched for: mods_note_programme_s:"Systems%5C+and%5C+Control"
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