Searched for: subject%3A%22Dynamic%255C%2BProgramming%22
(1 - 20 of 55)

Pages

document
Martens, Roos (author)
Recent studies have shown the feasibility of differential dynamic programming (DDP) in optimizing Earth-centered solar-sail trajectories. In order to further demonstrate the ability of DDP in the optimization of solar-sail trajectories, this work investigates the performance of DDP for optimizing interplanetary solar-sail trajectories. The...
master thesis 2023
document
Zeng, Henwei (author)
Several algorithms can often be used to solve a complex problem, such as the SAT problem or the graph coloring problem. Those algorithms differ in terms of speed based on the size or other features of the problem. Some algorithms perform much faster on a small size while others perform noticeably better on a larger instance. The optimization...
bachelor thesis 2023
document
Fu, Bin (author), Sun, B. (author), Guo, Hang (author), Yang, Tao (author), Fu, Wenxing (author)
The current study presents an online iterative adaptive dynamic programming approach to resolve the zero-sum game (ZSG) for nonlinear continuous-time (CT) systems containing a partially unknown dynamic. The Hamilton-Jacobian-Issacs (HJI) equation is solved along the state trajectory according to the value function approximation and the policy...
conference paper 2023
document
Noorafza, M. (author), Santos, Bruno F. (author), Sharpanskykh, Alexei (author), Zengerling, Zarah L. (author), Weder, Christian M. (author), Linke, Florian (author), Grewe, V. (author)
The aviation industry has set an ambitious goal of reducing its climate impacts. Accordingly, airlines must balance their plans according to this goal with financial considerations. We developed a multi-objective framework to facilitate climate-aware network design by incorporating the objective to minimise the flight average temperature...
journal article 2023
document
Vitanov, George (author)
This thesis discusses the chemical composition (basicity) control problem of HIsarna, an experimental iron furnace which operates with 30% less CO2 emissions than its traditional blast furnace counterparts. The control challenge is keeping the basicity of the plant in a narrow operating region. A mass balance model of the plant was constructed -...
master thesis 2022
document
Vinks, Ties (author)
The global market for personal mobility has transformed over the last decade. Traditional taxi services have to compete with the emergence of ride-hailing services such as Uber and Lyft. Rapid developments in available algorithms and real-time inter-connectivity of travellers and vehicles offer mobility-on-demand (MOD) services new possibilities...
master thesis 2022
document
Sharifi Kolarijani, M.A. (author)
This thesis is comprised of two main parts. In the first part of the thesis, we study the nonlinear Fokker-Planck (FP) equation that arises as a mean-field (macroscopic) approximation of the bounded confidence opinion dynamics, where opinions are influenced by environmental noises and opinions of radicals (stubborn individuals). The distribution...
doctoral thesis 2022
document
den Daas, Jelle (author)
Stochastic Dynamic Programming (SDP) has shown promising results for sequential decision problems of the route optimisation for an Electric Vehicle (EV) with the presence of stochastic variables in the travel cost. However, in studies, the optimisation problem formulation for EVs has been lacking in detail. For example, possible waiting times at...
master thesis 2022
document
Sun, B. (author), van Kampen, E. (author)
This paper develops an event-triggered optimal control method that can deal with asymmetric input constraints for nonlinear discrete-time systems. The implementation is based on an explainable global dual heuristic programming (XGDHP) technique. Different from traditional GDHP, the required derivatives of cost function in the proposed method...
journal article 2022
document
Sun, B. (author), Wang, Xuerui (author), van Kampen, E. (author)
In this paper, we establish an event-triggered intelligent control scheme with a single critic network, to cope with the optimal stabilization problem of nonlinear aeroelastic systems. The main contribution lies in the design of a novel triggering condition with input constraints, avoiding the Lipschitz assumption on the inverse hyperbolic...
journal article 2022
document
Demirović, E. (author), Lukina, A. (author), Hebrard, Emmanuel (author), Chan, Jeffrey (author), Bailey, James (author), Leckie, Christopher (author), Ramamohanarao, Kotagiri (author), Stuckey, Peter J. (author)
Decision tree learning is a widely used approach in machine learning, favoured in applications that require concise and interpretable models. Heuristic methods are traditionally used to quickly produce models with reasonably high accuracy. A commonly criticised point, however, is that the resulting trees may not necessarily be the best...
journal article 2022
document
den Haan, T.R.B. (author), Chau, K. W. (author), van der Schans, M. (author), Oosterlee, C.W. (author)
In this work, we consider rule-based investment strategies for managing a defined contribution pension savings scheme, under the Dutch pension fund testing model. We find that dynamic, rule-based investment strategies can outperform traditional static strategies, by which we mean that the investor may achieve the target retirement income with...
journal article 2022
document
Altamimi, Abdulelah (author), Lagoa, Constantino (author), Borges, José G. (author), McDill, Marc E. (author), Andriotis, C. (author), Papakonstantinou, K. G. (author)
Forest management can be seen as a sequential decision-making problem to determine an optimal scheduling policy, e.g., harvest, thinning, or do-nothing, that can mitigate the risks of wildfire. Markov Decision Processes (MDPs) offer an efficient mathematical framework for optimizing forest management policies. However, computing optimal MDP...
journal article 2022
document
Alves Beirigo, B. (author), Schulte, F. (author), Negenborn, R.R. (author)
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Because of supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately because service levels are,...
journal article 2022
document
Dabiri, A. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)
The literature on green mobility and eco-driving in urban areas has burgeoned in recent years, with special attention to using infrastructure to vehicle (I2V) communications to obtain optimal speed trajectory which minimize the economic and environmental costs. This article shares the concept with these studies but turns the spotlight on...
journal article 2022
document
Li, Guoqiang (author), Gorges, Daniel (author), Wang, M. (author)
In this paper a learning-based optimization method for online gear shift and velocity control is presented to reduce the fuel consumption and improve the driving comfort in a car-following process. The continuous traction force and the discrete gear shift are optimized jointly to improve both the powertrain operation and the longitudinal...
journal article 2022
document
van der Linden, J.G.M. (author), de Weerdt, M.M. (author), Demirović, E. (author)
Interpretable and fair machine learning models are required for many applications, such as credit assessment and in criminal justice. Decision trees offer this interpretability, especially when they are small. Optimal decision trees are of particular interest because they offer the best performance possible for a given size. However, state-of...
conference paper 2022
document
Rodopoulos, Charalampos (author)
In decision making problems, the ability to compute the optimal solution can pose a serious challenge. Dynamic Programming (DP) aims to provide a framework to deal with a category of such problems, namely ones that involve sequential decision making. By dividing the original control problem into sub-problems and solving it backwards in time,...
master thesis 2021
document
Leemans, Gijs (author)
This thesis demonstrates the usability of differential dynamic programming (DDP) to obtain, for the first time, globally optimal Earth-centred solar-sail trajectories. To this end, DDP is combined with a global optimisation heuristic, monotonic basin hopping. The dynamical model is implemented as a two-body problem, augmented with an ideal solar...
master thesis 2021
document
Seoane Álvarez, Maria (author)
<br/>Aviation emissions present a significant contribution to climate change. The rate at which new technology is developed cannot suffice the emission reduction requirements for the growth of this industry. Therefore, new areas of improvement, such as operational changes, should be considered. The inclusion of stop-overs in long-haul routes can...
master thesis 2021
Searched for: subject%3A%22Dynamic%255C%2BProgramming%22
(1 - 20 of 55)

Pages