COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing
Quarterly Journal of the Royal Meteorological Society, EarlyView.We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos +4 more
wiley +1 more source
Simulating the year to minute wind spectrum with mesoscale‐coupled large‐eddy simulations
Quarterly Journal of the Royal Meteorological Society, EarlyView.We coupled a large‐eddy simulation (resolution 50 m) to a mesoscale model (resolution 2 km), which takes boundary conditions from the ERA5 reanalysis. When using a large enough mesoscale domain (𝒪(1000 km)), the simulation setup can reproduce the observed temporal wind spectrum reasonably at all scales between one year and one minute. Furthermore, such
Bernard Postema +5 more
wiley +1 more source
Lossless and Lossy Characterization of the State of Perturbed Anharmonic Diatomics: An Information-Theoretic Compaction of Quantum Dynamics. [PDF]
J Chem Theory ComputHamilton JR, Levine RD.
europepmc +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Predicting forced responses of probability distributions via the fluctuation-dissipation theorem and generative modeling. [PDF]
Proc Natl Acad Sci U S AGiorgini LT, Falasca F, Souza AN.
europepmc +1 more source
Adaptive Sliding‐Mode Control of a Perturbed Diffusion Process With Pointwise In‐Domain Actuation
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT A sliding mode–based adaptive control law is proposed for a class of diffusion processes featuring a spatially‐varying uncertain diffusivity and equipped with several point‐wise actuators located at the two boundaries of the spatial domain as well as in its interior.
Paul Mayr +3 more
wiley +1 more source
Challenges of identification and anonymity in time-continuous data from medical environments. [PDF]
Front Digit HealthHammer F, Strufe T.
europepmc +1 more source
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang +3 more
wiley +1 more source
General Perturbation Resilient Dynamic String-Averaging for Inconsistent Problems with Superiorization. [PDF]
J Optim Theory ApplBarshad K, Censor Y.
europepmc +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT The importance of frequency domain methods in analysis and design of sliding mode (SM) control systems is mostly associated with chattering, where the advantages of these methods over state‐space and Lyapunov's methods are quite obvious.
I. M. Boiko
wiley +1 more source