Results 71 to 80 of about 186,289 (275)
Randomized Dynamic Mode Decomposition
, 2019 This paper presents a randomized algorithm for computing the near-optimal low-rank dynamic mode decomposition (DMD). Randomized algorithms are emerging techniques to compute low-rank matrix approximations at a fraction of the cost of deterministic ...
Brunton, Steven L. +3 more
core +3 more sources
On the Effect of Quantization on Extended Dynamic Mode Decomposition
2025 American Control Conference (ACC)Extended Dynamic Mode Decomposition (EDMD) is a widely used data-driven algorithm for estimating the Koopman Operator. EDMD extends Dynamic Mode Decomposition (DMD) by lifting the snapshot data using nonlinear dictionary functions before performing the estimation.
Maity, Dipankar, Goswami, Debdipta
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser +4 more
wiley +1 more source
Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians
, 2017 In this paper we propose a new Koopman operator approach to the decomposition of nonlinear dynamical systems using Koopman Gramians. We introduce the notion of an input-Koopman operator, and show how input-Koopman operators can be used to cast a ...
alvin +11 more
core +1 more source
Advanced Engineering Materials, EarlyView.Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
, 2018 Dynamic tensor data are becoming prevalent in numerous applications. Existing tensor clustering methods either fail to account for the dynamic nature of the data, or are inapplicable to a general-order tensor.
Li, Lexin, Sun, Will Wei
core +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Dynamic Modeling & Stability Analysis of a Generic UAV in Glide Phase
MATEC Web of Conferences, 2017 In this paper, we present dynamic modelling and stability analysis of a generic UAV in the glide phase under engine failure condition. When such extreme phenomena occurs, the most desirable requirement is to survive that stage by keeping the vehicle ...
Mir Imran, Maqsood Adnan, Akhtar Suhail
doaj +1 more source
Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories
Advanced Engineering Materials, EarlyView.A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi +3 more
wiley +1 more source
Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics
Computation, 2018 There are multiple ways in which a stochastic system can be out of statistical equilibrium. It might be subject to time-varying forcing; or be in a transient phase on its way towards equilibrium; it might even be in equilibrium without us noticing it ...
Péter Koltai +3 more
doaj +1 more source