Searched for: subject%3A%22Adaptive%255C+control%22
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Stam, Noah (author)
Neglecting actuator dynamics in nonlinear control and control allocation can lead to performance degradation, especially when considering fast dynamic systems. This thesis provides a novel method to account for actuator dynamics in the control allocation solution, dynamic incremental nonlinear control allocation, or D-INCA. The incremental...
master thesis 2024
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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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Pezzato, C. (author)
In an ever-evolving society, the demand for autonomous robots equipped with human-level capabilities is becoming increasingly imperative. Various factors, such as an aging population and a shortage of labor for repetitive and physically demanding tasks, have underscored the need for capable autonomous robots to assist us in our daily activities....
doctoral thesis 2024
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Xiao, J. (author), Wang, L. (author), Qin, Z. (author), Bauer, P. (author)
Communication-based distributed secondary control is deemed necessary to restore the state of islanding AC microgrids to set points. As its limited global information, the microgrids become vulnerable to cyber-attacks, which by falsifying the communicating singles, like the angular frequency, can disturb the power dispatch in the microgrids...
journal article 2024
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Yue, Dongdong (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article describes an extension of the well-known model reference adaptive control (MRAC) approach. The extension relies on explicitly involving the tracking error in the feedback control law: it is shown that including this term along with its appropriate extra adaptive gain allows one to handle possibly unstable reference dynamics....
journal article 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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Metz, Jan-Paul (author), Jaspers, Joost (author)
The primary objective of the subsystem discussed in this report is to continuously estimate the transfer-response of the system using the position measured by the interferometer, in order to accomplish adapted model inverted control using a dynamically updating model. In addition, this subsystem design incorporates a controller that is crucial...
bachelor 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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Mulders, S.P. (author), Liu, Y. (author), Spagnolo, Fabio (author), Christensen, P.B. (author), van Wingerden, J.W. (author)
Modern industrial wind turbine controllers for partial-load region control are becoming increasingly complex by progressively relying on modeled aerodynamic characteristics. These advanced turbine controllers generally consist of a combined wind speed estimator and tracking controller, allowing for a granular trade-off between energy capture...
journal article 2023
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Mooij, E. (author)
Attitude control of conventional launchers is relatively easy and straightforward and gives an adequate performance when applied to the nominal vehicle and mission. However, in the presence of environmental disturbances and vehicle design uncertainties, more robust types of controllers are required to guarantee stable attitudes. This chapter...
book chapter 2023
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Sun, D. (author), Jamshidnejad, A. (author), De Schutter, B.H.K. (author)
Traffic control is essential to reduce congestion in both urban and freeway traffic networks. These control measures include ramp metering and variable speed limits for freeways, and traffic signal control for urban traffic. However, current traffic control methods are either too simple to respond to complex traffic environment, or too...
journal article 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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Tao, T. (author)
This thesis deals with the adaptive control of interconnected systems and multi-agent systems, where adaptive control is used to deal with the presence of uncertainties. Generally, two types of uncertainties can occur. The first one is parametric uncertainty, which is most commonly addressed in the literature, and for which several design...
doctoral 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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Baldi, S. (author), Roy, Spandan (author), Yang, Kang (author), Liu, Di (author)
Effective design of autopilots for fixed-wing unmanned aerial vehicles (UAVs) is still a great challenge, due to unmodeled effects and uncertainties that these vehicles exhibit during flight. Unmodeled effects and uncertainties comprise longitudinal/lateral cross-couplings, as well as poor knowledge of equilibrium points (trimming points) of...
journal article 2022
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Liu, Di (author), Besselink, Bart (author), Baldi, S. (author), Yu, Wenwu (author), Trentelman, Harry L. (author)
Despite the progress in the field of longitudinal formations of automated vehicles, only recently an interpretation of longitudinal platooning has been given in the framework of disturbance decoupling, i.e. the problem of making a controlled output independent of a disturbance. The appealing feature of this interpretation is that the...
journal article 2022
Searched for: subject%3A%22Adaptive%255C+control%22
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