Pages
- 1
- 2
- document
-
van Wissen, Alexis (author)Capable of both vertical take-off and landing and forward flight, tail-sitters are a versatile class of UAVs with a large range of potential applications. A variant of tailsitters using tilt-rotors instead of ailerons for pitch and roll control has been proposed to mitigate the reduced control authority at low to zero velocities. The control of...master thesis 2023
- document
-
Bani, Klait (author)This thesis introduces a novel model predictive controller (MPC) that integrates both torque vectoring and path following into one controller. Due to a need to improve vehicle safety, systems are being developed in order to improve vehicle handling. One system that is able to improve the vehicle handling is torque vectoring (TV). With torque...master thesis 2023
- document
-
Zhang, Ting (author)Underactuated mechanical systems (UMS) feature prominently in robotics and aerospace, with aircraft, unmanned air vehicles, and aeroelastic wings as prime examples. These systems present multifaceted control challenges, ranging from inherent underactuation and stability concerns to state and control saturation and an overarching need for...master thesis 2023
- document
-
Lubbers, Seymour (author)Greenhouses allow production of crops that would otherwise be impossible. Permitting more local, fresher and nutrient richer crop production. Eorts are taken to minimize societal harm due to energy and resource consumption by greenhouse production systems. One way to control such systems is by using model predictive control. Optimal crop yield...master thesis 2023
- document
-
Seferlis, Ilias (author)As Autonomous Vehicles (AVs) navigate through dynamic and constantly changing environments, it is crucial that they take into account the impact of their actions on the decisions of others for safe and efficient interaction with humans. In doing so, they need to anticipate how humans will behave in different situations based on their intentions....master thesis 2023
- document
-
Cordiano, F. (author), Fochesato, Marta (author), Huang, Linbin (author), De Schutter, B.H.K. (author)We present a model predictive control framework for a class of nonlinear systems affected by additive stochastic disturbances with (possibly) unbounded support. We consider hard input constraints and chance state constraints and we employ the unscented transform method to propagate the disturbances over the nonlinear dynamics in a...journal article 2023
- document
-
Cador, Andrei (author)Full vehicle automation requires complete control over all driving scenarios that can be encountered on roads in order to ensure passenger safety at all times. This extends to dangerous situations such as losing control on slippery surfaces, commonly known as drifting. This work aims to make a step toward ensuring passenger safety in these...master thesis 2022
- document
-
Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)Wireless ranging measurements have been proposed for enabling multiple Micro Air Vehicles (MAVs) to localize with respect to each other. However, the high-dimensional relative states are weakly observable due to the scalar distance measurement. Hence, the MAVs have degraded relative localization and control performance under unobservable...journal article 2022
- document
-
Reed, Emily A. (author), Bogdan, Paul (author), Gonçalves Melo Pequito, S.D. (author)Assessing the stability of biological system models has aided in uncovering a plethora of new insights in genetics, neuroscience, and medicine. In this paper, we focus on analyzing the stability of neurological signals, including electroencephalogram (EEG) signals. Interestingly, spatiotemporal discrete-time linear fractional-order systems ...journal article 2022
- document
-
Aydin, B.E. (author), Oude Essink, Gualbert H.P. (author), Delsman, Joost R. (author), van de Giesen, N.C. (author), Abraham, E. (author)A significant increase in surface water salinization in low-lying deltas is expected globally due to saline groundwater exfiltration driven by rising sea levels and decreasing freshwater availability. Sustaining fresh water-dependent agriculture in such areas will entail an increased demand for fresh water flushing. Unfortunately, the...journal article 2022
- document
-
Li, S. (author)Drones, especially quadrotors, have shown their great value for applications like aerial photography, object delivery and warehouse inspection. At the same time, with the de- velopment of Artificial Intelligence (AI), computers can replace humans and even per- form better than humans in some areas where it was impossible before like the AI pro-...doctoral thesis 2020
- document
-
Li, Shijie (author), Liu, Jialun (author), Negenborn, R.R. (author), Wu, Qing (author)Autonomous shipping refers to the ability of a ship to independently control its own actions while transporting cargo from one port to another, which places higher requirements on ship motion control methods. When a ship enters a port, it is important to ensure that the ship sails from the fairway area to the assigned position at the berth...journal article 2020
- document
-
Koryakovskiy, I. (author)Reinforcement learning is an active research area in the fields of artificial intelligence and machine learning, with applications in control. The most important feature of reinforcement learning is its ability to learn without prior knowledge about the system. However, in the real world, reinforcement learning actions may lead to serious damage...doctoral thesis 2018
- document
-
Jürisson, Andres (author)Aircraft lifespan can be extended by upgrading and modernizing the electrical subsystems and instruments. However, this often introduces increased power demands and heat generation that the aircraft was not originally designed for and can result in a reduced flight performance and increased wear. Netherlands Aerospace Centre (NLR) and the...master thesis 2018
- document
-
Kudruss, Manuel (author), Koryakovskiy, I. (author), Vallery, H. (author), Mombaur, Katja (author), Kirches, Christian (author)Today’s humanoid robots are complex mechanical systems with many degrees of freedom that are built to achieve locomotion skills comparable to humans. In order to synthesize whole-body motions, real-tme capable direct methods of optimal control are a subject of contemporary research. To this end, Nonlinear Model Predictive Control is the method...report 2018
- document
-
Torrisi, Giampaolo (author), Grammatico, S. (author), Smith, Roy S. (author), Morari, Manfred (author)Projected gradient descent denotes a class of iterative methods for solving optimization programs. In convex optimization, its computational complexity is relatively low whenever the projection onto the feasible set is relatively easy to compute. On the other hand, when the problem is nonconvex, e.g., because of nonlinear equality constraints...journal article 2018
- document
-
van de Wiel, B.J.H. (author), Vignon, Etienne (author), Baas, P. (author), van Hooijdonk, I.G.S. (author), van der Linden, S.J.A. (author), van Hooft, J.A. (author), Bosveld, Fred C. (author), de Roode, S.R. (author), Moene, Arnold F. (author), Genthon, Christophe (author)A conceptual model is used in combination with observational analysis to understand regime transitions of near-surface temperature inversions at night as well as in Arctic conditions. The model combines a surface energy budget with a bulk parameterization for turbulent heat transport. Energy fluxes or feedbacks due to soil and radiative heat...journal article 2017
- document
-
Koryakovskiy, I. (author), Kudruss, M. (author), Babuska, R. (author), Caarls, W. (author), Kirches, Christian (author), Mombaur, Katja (author), Schlöder, Johannes P. (author), Vallery, H. (author)Model-free reinforcement learning and nonlinear model predictive control are two different approaches for controlling a dynamic system in an optimal way according to a prescribed cost function. Reinforcement learning acquires a control policy through exploratory interaction with the system, while nonlinear model predictive control exploits an...journal article 2017
- document
-
Kubalík, Jiří (author), Alibekov, Eduard (author), Babuska, R. (author)Model-based reinforcement learning (RL) algorithms can be used to derive optimal control laws for nonlinear dynamic systems. With continuous-valued state and input variables, RL algorithms have to rely on function approximators to represent the value function and policy mappings. This paper addresses the problem of finding a smooth policy...journal article 2017
- document
-
Vali, M. (author), Petrović, Vlaho (author), Boersma, S. (author), van Wingerden, J.W. (author), Kühn, Martin (author)In this paper, we extend our closed-loop optimal control framework for wind farms to minimize wake-induced power losses. We develop an adjoint-based model predictive controller which employs a medium-fidelity 2D dynamic wind farm model. The wind turbine axial induction factors are considered here as the control inputs to influence the overall...conference paper 2017
Pages
- 1
- 2