Searched for: subject%3A%22Numerical%255C+Stability%22
(1 - 20 of 24)

Pages

document
Jager, Pim (author)
In dit verslag is een eolisch sedimenttransport model geformuleerd en het model van De Vries geïmplementeerd en geanalyseerd. Na de afleiding van de eendimensionale advectie-diffusievergelijking vanuit de driedimensionale continuïteitsvergelijking is eerst het model van De Vries zonder diffusie onderzocht. In het model kan er onderscheid gemaakt...
bachelor thesis 2023
document
Khosravi, M. (author)
In this work, we consider the problem of learning the Koopman operator for discrete-time autonomous systems. The learning problem is formulated as a generic constrained regularized empirical loss minimization in the infinite-dimensional space of linear operators. We show that a representer theorem holds for the introduced learning problem...
journal article 2023
document
Khosravi, M. (author), Smith, R. S. (author)
In this article, we consider the problem of system identification when side-information is available on the steady-state gain (SSG) of the system. We formulate a general nonparametric identification method as an infinite-dimensional constrained convex program over the reproducing kernel Hilbert space (RKHS) of stable impulse responses. The...
journal article 2023
document
Barbierato, Luca (author), Pons, Enrico (author), Bompard, Ettore Francesco (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)
Electromagnetic transients (EMT) is the most accurate, but computationally expensive method of analyzing power system phenomena. Thereby, interconnecting several real-time simulators can unlock scalability and system coverage, but leads to a number of new challenges, mainly in time synchronization, numerical stability, and accuracy...
journal article 2023
document
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
document
Chang, J. (author), De Breuker, R. (author), Wang, Xuerui (author)
This article exposes that although some sensor-based nonlinear fault-tolerant control frameworks including incremental nonlinear dynamic inversion control can passively resist a wide range of actuator faults and structural damage without requiring an accurate model of the dynamic system, their stability heavily relies on a sufficient...
journal article 2022
document
Stelling, G.S. (author)
The widespread availability of high-resolution Digital Elevation Models (DEM), has led to the development of subgrid numerical modeling techniques, based on Shallow Water Equations (SWE). Detailed DEM data is clustered as much as possible within a coarse grid cell that is preferably much larger than a raster pixel. This has considerable...
journal article 2022
document
Barbierato, L. (author), Pons, Enrico (author), Mazza, Andrea (author), Bompard, Ettore (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Macii, Enrico (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)
Cosimulation techniques are gaining popularity amongst the power system research community to analyze future scalable smart grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding up the widespread usage of these techniques for the power system analysis. These issues are even...
journal article 2022
document
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
document
Barbierato, L. (author), Pons, Enrico (author), Mazza, Andrea (author), Bompard, Ettore Francesco (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Macii, Enrico (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)
Co-simulation techniques are gaining popularity amongst the power system research community to analyse future scalable Smart Grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding-up the widespread usage of these techniques for power system analysis. These issues are even further...
conference paper 2021
document
Baldi, S. (author), Ioannou, PA (author)
This paper proposes a Lyapunov-based switching logic within the framework of adaptive mixing control (AMC), where a weighted combination of a family of candidate controllers can be inserted in the loop to regulate the output of an uncertain plant. The proposed AMC scheme employs a bank of parallel estimators, or multiple estimators, together...
journal article 2016
document
Mieremet, M.M.J. (author)
In the field of geotechnical engineering, the study of numerous processes such as pile installation requires to model large deformation of soil. Soil is an assembly of solid particles whose pore volume is filled with water or air. Its deformation mainly depends on the highly non-linear stress-strain behaviour of the soil skeleton. In case of the...
master thesis 2015
document
Tenzer, R. (author), Novák, P. (author)
The eigenvalue decomposition technique is used for analysis of conditionality of two alternative solutions for a determination of the geoid from local gravity data. The first solution is based on the standard two-step approach utilising the inverse of the Abel-Poisson integral equation (downward continuation) and consequently the Stokes/Hotine...
journal article 2008
document
Wittwer, T. (author), Klees, R. (author), Seitz, K. (author), Heck, B. (author)
We present software for spherical harmonic analysis (SHA) and spherical harmonic synthesis (SHS), which can be used for essentially arbitrary degrees and all co-latitudes in the interval (0°, 180°). The routines use extended-range floating-point arithmetic, in particular for the computation of the associated Legendre functions. The price to be...
journal article 2007
document
Chang, X.W. (author), Paige, C.C. (author), Tiberius, C.C.J.M. (author)
When processing observational data, statistical testing is an essential instrument for rendering harmless incidental anomalies and disturbances in the measurements. A commonly used test statistic based on the general linear model is the generalized likelihood ratio test statistic. The standard formula given in the literature for this test...
journal article 2005
document
Klein Breteler, M. (author)
report 1999
document
report 1997
document
Goede, E.D. de (author)
report 1996
document
ten Dam, A.A. (author)
Numerical simulation of constrained dynamical systems is known to exhibit stability problems even when the unconstrained system can be simulated in a stable manner. We show that not the constraints themselves, but the transformation of a continuous set of equations to a discrete set of equations is the true source of the stability problem....
report 1990
document
ten Dam, A.A. (author), Dieleman, P. (author)
This report describes the results of an evaluation of numerical integration schemes to be used for the digital simulation of second order ordinary differential equations (ODE's) which are characteristic for multibody systems such as space manipulators. The study focuses on dedicated schemes for this type of systems. Main attention is paid to the...
report 1990
Searched for: subject%3A%22Numerical%255C+Stability%22
(1 - 20 of 24)

Pages