Searched for: subject%3A%22Adaptive%255C%252BControl%22
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Dawe, Alon (author)
master thesis 2024
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Mckenzie, Max (author)
Haptic shared controllers (HSCs) are a promising solution to prevent human over-reliance on automation during tasks such as car driving. However, research has shown that if the HSC is tuned incorrectly, then there is a risk of haptic conflicts between the human and HSC. To address this challenge, this paper presents the design and implementation...
master thesis 2024
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Villanueva Aguado, Mauro (author)
Executing quadrotor trajectories accurately and therefore safely is a challenging task. State-of-the-art adaptive controllers achieve impressive trajectory tracking results with slight performance degradation in varying winds or payloads, but at the cost of computational...
master thesis 2023
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Tsaniklidis, Georgios (author)
Nowadays, the high demand for road transportation often reaches a point where it exceeds the capacity of freeway traffic networks, resulting in congestion. Freeway traffic congestion is a major social problem, as it is the reason for increased time delays, higher accident risk and environmental pollution. There is, therefore, the need for a...
master thesis 2023
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van der Maarel, Stefan (author)
High-Speed Atomic Force Microscopy is widely used for investigating biological architectures and the semiconductor industry. The main limitation comes from parachuting or the Wile E. Coyote effect. Parachuting is the phenomenon where the cantilever taps on the sample towards a steep decrease in height, but does not get adjusted for this decrease...
master thesis 2022
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Wang, Chenyao (author)
Flapping wing micro aerial vehicles (FWMAVs) are known for their flight agility and maneuverability. However, their in-gust flight performance and stability is still inferior to their biological counterparts. To this end, a simplified in-gust dynamic model, which could capture the main gust effects on FWMAVs, has been identified with real in...
master thesis 2022
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Kanhai, Prawien (author)
In recent years the popularity of VTOL (Vertical Take-Off and Landing) drones has increased significantly. Due to their hybrid design, these drones can take off and land vertically and fly horizontally, enabling them to land in difficult terrain and have a more extensive range than the Quadcopter counterpart. However, this hybrid design also...
master thesis 2022
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van Zijl, Job (author)
Deep Reinforcement Learning (DRL) shows great potential for flight control, due to its adaptability, fault-tolerance, and as it does not require an accurate system model. However, these techniques, like many machine learning applications, are considered black-box as their inner workings are hidden. This paper aims to break open the black box of...
master thesis 2022
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Remmerswaal, Willemijn (author)
Both model predictive control (MPC) and reinforcement learning (RL) have shown promising results in the control of traffic signals in urban traffic networks. There are, however, a few drawbacks. MPC controllers are not adaptive and therefore perform suboptimal in the presence of the uncertainties that always occur in urban traffic systems....
master thesis 2022
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Vasconcelos Cabanas Ramos Ascensão, Tomás (author)
With the number of diagnosed cases rising every year, Autism Spectrum Disorder (ASD) is in need of novel therapeutic approaches to counteract the social and motor impairments inflicted by it. In this research, one of such therapeutic approaches, movement therapy (in particular Dance Movement Therapy (DMT)), is combined with the concept of...
master thesis 2021
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Smit, Beau (author)
Control augmentation systems based on Incremental Nonlinear Dynamic Inversion (INDI) are able to provide high-performance nonlinear control without the need for a model of the complete system. Considering a pitch rate control law for a fixed-wing aircraft, only a model for the elevator control effectiveness (CE) and sensor feedback of the pitch...
master thesis 2021
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van Diggelen, Fuda (author)
This thesis is motivated by evolutionary robot systems where robot bodies and brains evolve simultaneously. In such a robot system, `birth' must be followed by `infant learning' by a learning method that works for various morphologies evolution may produce. Here we address the task of directed locomotion in modular robots with controllers based...
master thesis 2020
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Jacobs, Olav (author)
In this thesis, a control scheme for lifting parcels using two robot manipulators is presented. The robots do not have a rigid grasp on the object. Instead, they use friction to lift the parcels. First, a controller calculates the desired force to make sure the parcels do not slip. The required force, as well as a trajectory are then sent to a...
master thesis 2020
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Pezzato, Corrado (author)
Dealing with inherently unmodeled dynamics and large parameter variations or faults, is a challenging task while controlling robot manipulators. Classical control techniques cannot usually provide satisfactory responses, and often external supervision systems have to be designed to handle the faults. Recent research has shown that active...
master thesis 2019
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Jain, Vishrut (author)
The work presented in this report focuses on longitudinal control of heterogeneous platoon. Firstly, merging maneuver is looked upon, considering heterogeneity in the vehicles i.e. considering different dynamics for the vehicles involved. Then heterogeneity in platoon, arising from the difference in potential limits of the vehicles is taken into...
master thesis 2019
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Kroezen, Dave (author)
Online Reinforcement Learning is a possible solution for adaptive nonlinear flight control. In this research an Adaptive Critic Design (ACD) based on Dual Heuristic Dynamic Programming (DHP) is developed and implemented on a simulated Cessna Citation 550 aircraft. Using an online identified system model approximation, the method is independent...
master thesis 2019
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de Jong, Joost (author)
This thesis reports on the research and design of a real-time Time-Varying Model Predictive Control (TVMPC) scheme to stabilize a tilt-rotor aircraft with four independently tilting rotors. The aircraft design stems from a prototype system constructed by the drone technology start-up Avy.<br/>First, a motivation is presented for implementation...
master thesis 2019
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Elzinga, Maurits (author)
Neurologically impaired patients can regain motor function by engaging in rehabilita- tion. Currently there is no conclusive evidence that robotic rehabilitation has better clinical results than conventional rehabilitation but robotic rehabil- itation has the potential to increase efficiency and patient motivation, justifying improvement of reha...
master thesis 2018
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Khattar, Varun (author)
Closed-loop control systems, which utilize output signals for feedback to generate control inputs, can achieve high performance. However, robustness of feedback control loops can be lost if system changes and uncertainties are too large. Adaptive control combines the traditional feedback structure with providing adaptation mechanisms that adjust...
master thesis 2018
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Azzollini, Ilario (author)
A challenging task in synchronization of multi-agent systems is steering the network towards a coherent solution when the dynamics of the constituent systems are heterogeneous and residing in a possibly large uncertainty set. In this situation, synchronization can be achieved via adaptive protocols (with adaptive feedback gains, or adaptive...
master thesis 2018
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