Searched for: subject%3A%22Stability%255C+analysis%22
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Barneveld, H.J. (author), Mosselman, E. (author), Chavarrías, V. (author), Hoitink, A.J.F. (author)
Sustainable river management often requires long-term morphological simulations. As the future is unknown, uncertainty needs to be accounted for, which may require probabilistic simulations covering a large parameter domain. Even for one-dimensional models, simulation times can be long. One of the acceleration strategies is simplification of...
abstract 2024
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Wu, Dan (author), Seo, Gab-Su (author), Xu, Lie (author), Su, Chi (author), Kocewiak, Łukasz (author), Qin, Z. (author)
Offshore wind is expected to be a major player in the global efforts toward decarbonization, leading to exceptional changes in modern power systems. Understanding the impacts and capabilities of the relatively new and uniquely positioned assets in grids with high integration levels of inverter-based resources, however, is lacking, raising...
journal article 2024
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Dziarnowska, Weronika (author)
Researchers have been interested in studying the connection between emotion and memory for decades but much remains unknown due to the elusive nature of the human brain. Furthering our understanding of the phenomenon is crucial for improving the treatment of neurological disorders associated with emotion dysregulation, as well as for enhancing...
master thesis 2023
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Egberts, G. (author)
Burns can make patients’ lives quite miserable. Apart from prominent and thickened, or hypertrophic, scars, the skin may be characterized by contraction. When this contraction is so severe that the patient loses joint mobility, it is called contracture. Then a patient may have difficulties with sports or other daily activities. The consequence...
doctoral thesis 2023
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Azamy, Parwiz (author)
master thesis 2023
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Lv, Maolong (author), De Schutter, B.H.K. (author), Wang, Ying (author), Shen, Di (author)
This article attempts to realize zero-error constrained tracking for hypersonic flight vehicles (HFVs) subject to unknown control directions and asymmetric flight state constraints. The main challenges of reaching such goals consist in that addressing multiple unknown control directions requires novel conditional inequalities encompassing the...
journal article 2023
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Wang, L. (author), Qin, Z. (author), Xiao, J. (author), Bauer, P. (author)
The critical short circuit ratio (CSCR), as an important metric for grid stability evaluation, is not clearly defined in the literature. Aimed at clarifying the misunderstandings, the paper compares the different CSCR definitions. Moreover, CSCR reduction-oriented design is studied for electric vehicle chargers. Simulations verify the analysis.
conference paper 2023
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Zhou, Xiaochuan (author), Ganeshpure, D.A. (author), Soeiro, Thiago B. (author), Ghaffarian Niasar, M. (author), Wu, Y. (author), Vaessen, P.T.M. (author)
In order to damp the resonance in the MMC-based Arbitrary Wave shape Generator (AWG) used for high voltage testing, an active damping control methodology is proposed in this paper instead of the passive damping with an arm resistor. It is vital to ensure the system’s stability when such an active damping closed loop control is implemented....
conference paper 2023
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Pérez-Dattari, Rodrigo (author), Kober, J. (author)
Learning from humans allows nonexperts to program robots with ease, lowering the resources required to build complex robotic solutions. Nevertheless, such data-driven approaches often lack the ability to provide guarantees regarding their learned behaviors, which is critical for avoiding failures and/or accidents. In this work, we focus on...
journal article 2023
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Sabbaqi, M. (author), Isufi, E. (author)
Devising and analysing learning models for spatiotemporal network data is of importance for tasks including forecasting, anomaly detection, and multi-agent coordination, among others. Graph Convolutional Neural Networks (GCNNs) are an established approach to learn from time-invariant network data. The graph convolution operation offers a...
journal article 2023
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Jafarian, M. (author), Mamduhi, Mohammad H. (author), Johansson, Karl H. (author)
This article studies stochastic relative phase stability, i.e., stochastic phase-cohesiveness, of discrete-time phase-coupled oscillators. The stochastic phase-cohesiveness in two types of networks is studied. First, we consider oscillators coupled with 2π-periodic odd functions over underlying undirected graphs subject to both multiplicative...
journal article 2023
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Zegers, Samuel (author)
In several experiments, enzymes have shown an in increase in diffusivity in the presence of their substrate. The enhancement in diffusivity ranged from as low as 28% for urease to 80% in the case of alkaline phosphatase. There are two main competing theories. One asserts that catalytically driven boosts propel the enzyme forward in ‘leaps’,...
bachelor thesis 2022
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Diederen, Carolien (author)
The objective of this master thesis is to investigate experimentally how non-breaking wave loading affects the stability of the MOSES artificial reefs, an artificial reef by the company ReefSystems. Small scale wave flume tests with a length scale factor of 20 were conducted in the Scheldt flume at Deltares in Delft to determine the stability of...
master thesis 2022
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Bloemers, Tom (author), Oomen, T.A.E. (author), Toth, Roland (author)
The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate...
journal article 2022
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Gonzalez Silva, J. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)
Wind turbine (WT) controllers are often geared towards maximum power extraction, while suitable operating constraints should be guaranteed such that WT components are protected from failures. Control strategies can be also devised to reduce the generated power, for instance to track a power reference provided by the grid operator. They are...
conference paper 2022
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Lavaei, Abolfazl (author), Mohajerin Esfahani, P. (author), Zamani, Majid (author)
In this work, we propose a data-driven approach for the stability analysis of discrete-time homogeneous nonlinear systems with unknown models. The proposed framework is based on constructing Lyapunov functions via a set of data, collected from trajectories of unknown systems, while providing an a-priori guaranteed confidence on the stability of...
conference paper 2022
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Tao, T. (author), Roy, S. (author), Baldi, S. (author)
This work introduces a new single-stage adaptive controller for Euler-Lagrange systems with nonholonomic constraints. The proposed mechanism provides a simpler design philosophy compared to double-stage mechanisms (that address kinematics and dynamics in two steps), while achieving analogous stability properties, i.e. stability of both original...
conference paper 2022
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Anil Meera, A. (author), Wisse, M. (author)
The free energy principle (FEP) from neuroscience provides a framework called active inference for the joint estimation and control of state space systems, subjected to colored noise. However, the active inference community has been challenged with the critical task of manually tuning the noise smoothness parameter. To solve this problem, we...
conference paper 2022
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Andrew, Philippa Kate (author), Raudsepp, Allan (author), Nock, Volker (author), Fan, D. (author), Williams, Martin A.K. (author), Staufer, U. (author), Avci, Ebubekir (author)
Optical micromachines have the potential to improve the capabilities of optical tweezers by amplifying forces and allowing for indirect handling and probing of specimens. However, systematic design and testing of micromachine performance is still an emerging field. In this work we have designed and tested an unsupported microlever, suitable for...
conference paper 2022
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Peruffo, A. (author), Mazo, M. (author)
We employ the scenario approach to compute probably approximately correct (PAC) bounds on the average inter-sample time (AIST) generated by an unknown PETC system, based on a finite number of samples. We extend the scenario optimisation to multiclass SVM algorithms in order to construct a PAC map between the concrete state-space and the inter...
journal article 2022
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