Searched for: subject%3A%22optimal%255C+control%22
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Sun, B. (author)
Advancements in aerial vehicles have presented new challenges for flight control system design. The disturbed airflow caused by rotors and flapping wings and the nonlinearity and uncertainty increased by morphing components impede the identification of a globally accurate model of these vehicles. Additionally, complex components can increase the...
doctoral thesis 2024
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Wilde, N. (author), Smith, Stephen L. (author), Alonso-Mora, J. (author)
When designing a motion planner for autonomous robots there are usually multiple objectives to be considered. However, a cost function that yields the desired trade-off between objectives is not easily obtainable. A common technique across many applications is to use a weighted sum of relevant objective functions and then carefully adapt the...
journal article 2024
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Papaioannou, G. (author), Maroof, Vallan (author), Jerrelind, Jenny (author), Drugge, Lars (author)
Effective emission control technologies and eco-friendly propulsion systems have been developed to decrease exhaust particle emissions. However, more work must be conducted on non-exhaust traffic-related sources such as tyre wear. The advent of automated vehicles (AVs) enables researchers and automotive manufacturers to consider ways to further...
journal article 2024
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Heinen, Jan T. (author), Brockie, S.G. (author), ten Broek, Raymund (author), van der Kruk, E. (author), Moore, J.K. (author)
The ollie is the base aerial human–board maneuver, foundational to most modern skateboarding tricks. We formulate and solve an optimal control problem of a two-dimensional simplified human model and a rigid body skateboard with the objective of maximizing the height of the ollie. Our solution simultaneously discovers realistic human-applied...
journal article 2024
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Simorgh, A. (author), Soler, Manuel (author), Dietmüller, Simone (author), Matthes, Sigrun (author), Yamashita, Hiroshi (author), Castino, F. (author), Yin, F. (author)
The non-CO<sub>2</sub> climate impact of aviation strongly relies on the atmospheric conditions at the time and location of emissions. Therefore, it is possible to mitigate their associated climate impact by planning trajectories to re-route airspace areas with significant climate effects. Identifying such climate-sensitive regions requires...
journal article 2024
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Trevisan, E. (author), Alonso-Mora, J. (author)
Motion planning for autonomous robots in dynamic environments poses numerous challenges due to uncertainties in the robot's dynamics and interaction with other agents. Sampling-based MPC approaches, such as Model Predictive Path Integral (MPPI) control, have shown promise in addressing these complex motion planning problems. However, the...
journal article 2024
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Ferede, R. (author), de Croon, G.C.H.E. (author), de Wagter, C. (author), Izzo, Dario (author)
Developing optimal controllers for aggressive high-speed quadcopter flight poses significant challenges in robotics. Recent trends in the field involve utilizing neural network controllers trained through supervised or reinforcement learning. However, the sim-to-real transfer introduces a reality gap, requiring the use of robust inner loop...
journal article 2024
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Goldman, Thomas (author)
This thesis proposes an unsupervised Physics-Informed Neural Network (PINN) for solving optimal control problems with the direct method to design and optimize transfer trajectories. The network adheres analytically to boundary conditions and includes the objective fitness as regularization in its loss function. A test scenario of a planar Earth...
master thesis 2023
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Agarwal, Ritik (author)
HIsarna is a revolutionary step towards production of green steel. Due to the complex nature of the process the control of various facets of HIsarna is difficult. One of these facets is the slag-composition control, or more specifically slag-basicity. In this thesis an optimal sequential decision making strategy has been developed using the...
master thesis 2023
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Spijkerman, Danny (author)
Due to the increased share of (offshore) wind turbines, more stringent power requirements have been established. Importantly, the low-voltage ride-through requirement states that a wind turbine must remain connected to the electrical grid after a short intermittent grid fault. In the industry and academia many solutions have been proposed, but...
master thesis 2023
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Kaffa, Lauren (author)
Loss of control (LOC) is the primary cause of failure of Unmanned Aerial Vehicles (UAV). The safety of these systems can be largely improved by facilitating techniques to prevent LOC to occur, such as Flight Envelope Protection, enabling controllers to keep the system within the Safe Flight Envelope (SFE).<br/>The aim of this work is to examine...
master thesis 2023
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Knoppert, Sammie (author)
In the last decades, climate change is causing our environment to change rapidly, unprecedented in recent history. Civil engineering structures are dependent on the deteriorating environment they are situated in. Changes can cause an increase in loading due to, for example, extreme weather events or alter the structure’s resistance by, for...
master thesis 2023
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Romeijn, Noortje (author)
Rapid discharge of excess water has always been the core of Dutch water management. Due to climate change, a change in strategy is required. A future-proof drainage strategy consists of three steps: 1) retention, 2) storage, and 3) controlled removal. This thesis comprises the design and evaluation of an algorithm for groundwater-based Model...
master thesis 2023
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Probst, Johanna (author)
Creating autonomous Micro Aerial Vehicles for executing complex missions poses various challenges, including safe navigation in the presence of external wind disturbances. Most current navigation methods handle external wind disturbances through real-time estimation and rejection algorithms in the control stage, but lack safety guarantees in...
master thesis 2023
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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
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van den Broek, M.J. (author), van den Berg, D.G. (author), Sanderse, Benjamin (author), van Wingerden, J.W. (author)
Dynamic induction control is a wind farm flow control strategy that utilises wind turbine thrust variations to accelerate breakdown of the aerodynamic wake and improve downstream turbine performance. However, when floating wind turbines are considered, additional dynamics and challenges appear that make optimal control difficult. In this work...
journal article 2023
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de Jong, M.N. (author), Campana, Francesca Cala (author), Li, Pengfei (author), Pan, Qiuwei (author), Giordano, G. (author)
In 2022, worldwide mpox outbreaks have called attention to mpox virus infection and treatment opportunities using the drugs cidofovir and tecovirimat, which target different stages of in-host viral proliferation, respectively production and shedding. We propose a new model of in-host viral infection dynamics that distinguishes between the two...
journal article 2023
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Jain, V. (author), Kumar, Sandeep Suresh (author), Papaioannou, G. (author), Happee, R. (author), Shyrokau, B. (author)
In the transition from partial to high automation, occupants will no longer be actively involved in driving. This will allow the use of travel time for work or leisure, where high comfort levels preventing motion sickness are required. In this paper, an optimal trajectory planning algorithm is presented in order to minimise motion sickness in...
journal article 2023
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Peters, L. (author), Rubies-Royo, Vicenç (author), Tomlin, Claire J. (author), Ferranti, L. (author), Alonso-Mora, J. (author), Stachniss, Cyrill (author), Fridovich-Keil, David (author)
Robots deployed to the real world must be able to interact with other agents in their environment. Dynamic game theory provides a powerful mathematical framework for modeling scenarios in which agents have individual objectives and interactions evolve over time. However, a key limitation of such techniques is that they require a priori...
journal article 2023
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Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)
The efficacy of robust optimal control with adjustable uncertainty sets is verified in several domains under the perfect state information setting. This paper investigates constrained robust optimal control for linear systems with linear cost functions subject to uncertain disturbances and state measurement errors that are both residing in...
journal article 2023
Searched for: subject%3A%22optimal%255C+control%22
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