Results 21 to 30 of about 642 (180)

A spectral collocation method for stochastic Volterra integro-differential equations and its error analysis

open access: yesAdvances in Difference Equations, 2019
Volterra integro-differential equations arise in the modeling of natural systems where the past influence the present and future, for example pollution, population growth, mechanical systems and financial market. Furthermore, as many real-world phenomena
Sami Ullah Khan   +2 more
doaj   +1 more source

A Hybrid Fractional Chebyshev–Legendre Spectral Collocation Method for Hamilton–Jacobi–Bellman Equations

open access: yesIEEE Access
Stochastic optimal control problems are commonly formulated as optimization problems constrained by stochastic dynamical systems, whose value functions satisfy Hamilton–Jacobi–Bellman (HJB) equations.
Alvian Alif Hidayatullah   +7 more
doaj   +1 more source

Research on Conducted EMI Uncertainty Simulation Method for Electric Vehicle Motor Drive Systems [PDF]

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications
In the study of Electromagnetic Compatibility (EMC) for electric vehicle motor drive systems, the simulation and prediction of conducted Electromagnetic Interference (EMI) require consideration of uncertainty factors.
Jinjun Bai   +4 more
doaj   +2 more sources

A RBF partition of unity collocation method based on a finite difference scheme to solve parabolic stochastic partial differential equations

open access: yesپژوهش‌های ریاضی, 2021
Meshfree methods based on radial basis functions (RBFs) are popular tools for the numerical solution of parabolic stochastic partial differential equations (PSPDEs).
Mohsen Esmaeilbeigi   +2 more
doaj  

Robust Trajectory Optimization of a Ski Jumper for Uncertainty Influence and Safety Quantification

open access: yesProceedings, 2018
This paper deals with the development of a robust optimal control framework for a previously developed multi-body ski jumper simulation model by the authors.
Patrick Piprek, Florian Holzapfel
doaj   +1 more source

Multi-fidelity stochastic collocation method for computation of statistical moments [PDF]

open access: yesJournal of Computational Physics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xueyu Zhu   +2 more
openaire   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Current Challenges of Transcription Compartmentalization Research

open access: yesAdvanced Science, EarlyView.
Transcription factors, coactivators, and RNA polymerase II assemble into transcription compartments ranging from small, defined complexes to liquid‐like condensates. This review unifies these seemingly competing descriptions along a single continuum and asks what these compartments have been shown to do, and what they have not, revealing that the most ...
Thomas Quail, Sina Wittmann
wiley   +1 more source

Nanoelectronic COupled Problems Solutions: uncertainty quantification for analysis and optimization of an RFIC interference problem

open access: yesJournal of Mathematics in Industry, 2018
The FP7 project nanoCOPS (the 7th Framework Programme project Nanoelectronic COupled Problems Solutions) derived new methods for simulation during development of designs of integrated products.
Piotr Putek   +6 more
doaj   +1 more source

Pulse‐Engineered Synaptic Linearity and Non‐Volatile Memory in MoO3/TiO2 Bilayer Memristors for Neuromorphic Image Recognition

open access: yesAdvanced Electronic Materials, EarlyView.
Pulse‐protocol optimization in an Au/MoO3/TiO2/FTO bilayer memristor enables linear analog synaptic conductance modulation along with digital resistive switching for memory. Controlled filament evolution produces stable learning‐forgetting characteristics with low nonlinearity, resulting in significantly enhanced neural network inference accuracy for ...
Girish Chandrashekar   +2 more
wiley   +1 more source

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