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A novel hybrid dynamical model for single-coil, short-stroke reluctance actuators is presented in this paper. The model, which is partially based on the principles of magnetic equivalent circuits, includes the magnetic phenomena of…

系统与控制 · 电气工程与系统科学 2024-07-15 Edgar Ramirez-Laboreo , Maurice G. L. Roes , Carlos Sagues

This paper presents an approach for developing a neural network inverse model of a piezoelectric positioning stage, which exhibits rate-dependent, asymmetric hysteresis. It is shown that using both the velocity and the acceleration as…

系统与控制 · 电气工程与系统科学 2020-08-03 Gangfeng Yan , Hang Jian Soo , Khalid Abidi , Jian-Xin Xu

We consider a cantilever beam which possesses a possibly non-uniform permanent magnetization, and whose shape is controlled by an applied magnetic field. We model the beam as a plane elastic curve and we suppose that the magnetic field acts…

偏微分方程分析 · 数学 2023-11-09 Riccardo Durastanti , Lorenzo Giacomelli , Giuseppe Tomassetti

This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference trajectories and operational constraints. By jointly optimizing control inputs…

系统与控制 · 电气工程与系统科学 2026-01-27 Teruki Kato , Ryotaro Shima , Kenji Kashima

In this note, we exhibit a situation where a stationary state of Moffatt's ideal magnetic relaxation problem is different than the corresponding force-free $L^2$ energy minimizer of Woltjer's variational principle. Such examples have been…

数学物理 · 物理学 2022-03-14 R. Komendarczyk

We establish the existence of non-constant periodic solutions to the Lorentz force equation, where no scalar potential is needed to induce the electromagnetic field. Our results extend to cases where a possibly singular scalar potential is…

动力系统 · 数学 2025-10-30 Manuel Garzón , Salvador López-Martínez

We study the energy landscape of the soft-spin random field model in the mean-field limit and compute analytically the quenched complexity of the metastable states as a function of their magnetization and energy at a given external magnetic…

无序系统与神经网络 · 物理学 2015-05-13 M. L. Rosinberg , T. Munakata

Energy-Based Models (EBMs) present a flexible and appealing way to represent uncertainty. Despite recent advances, training EBMs on high-dimensional data remains a challenging problem as the state-of-the-art approaches are costly, unstable,…

机器学习 · 计算机科学 2021-06-08 Will Grathwohl , Jacob Kelly , Milad Hashemi , Mohammad Norouzi , Kevin Swersky , David Duvenaud

We demonstrate that the finiteness of the limiting values of the lower energy levels of a hydrogen atom under an unrestricted growth of the magnetic field, into which this atom is embedded, is achieved already when the vacuum polarization…

量子物理 · 物理学 2020-11-26 T. C. Adorno , D. M. Gitman , A. E. Shabad

A new mathematical model of hysteresis loop has been derived. Model consists in an extansion of tanh($\cdot$) by extanding the base of exp function into an arbitrary positive number. The presented model is self-similar and invariant with…

材料科学 · 物理学 2023-07-19 Krzysztof Z. Sokalski

We discuss the equations describing the motion of ferrofluids subject to an external magnetic field. We concentrate on the model proposed by R. Rosensweig, provide an appropriate definition for the effective magnetizing field, and explain…

数值分析 · 数学 2015-11-16 Ricardo H. Nochetto , Abner J. Salgado , Ignacio Tomas

A powerful time series analysis modeling technique is presented to describe cycle-to-cycle variability in memristors. These devices show variability linked to the inherent stochasticity of device operation and it needs to be accurately…

介观与纳米尺度物理 · 物理学 2024-02-08 Francisco J. Alonso , David Maldonado , Ana M. Aguilera , Juan B. Roldán

The Random Field Ising Model (RFIM) is the simplest physical model reflecting effect of quenched disorder on the different types of phase transitions in solids. The presence of multiple energy minima in the RFIM is an important feature…

无序系统与神经网络 · 物理学 2007-05-23 A. A. Likhachev

Some methods for the convergence acceleration of the M{\o}ller-Plesset perturbation series for the correlation energy are discussed. The order-by-order summation is less effective than the Feenberg series. The latter is obtained by…

chem-ph · 物理学 2011-08-22 Herbert H. H. Homeier

The Bethe free energy approximation provides an effective way for relaxing NP-hard problems of probabilistic inference. However, its accuracy depends on the model parameters and particularly degrades if a phase transition in the model…

机器学习 · 统计学 2024-10-24 Harald Leisenberger , Christian Knoll , Franz Pernkopf

We employ an improved estimator to calculate the constraint effective potential of the staggered magnetization in the spin $\tfrac{1}{2}$ quantum Heisenberg model using a loop-cluster algorithm. The first and second moment of the…

强关联电子 · 物理学 2009-11-13 U. Gerber , C. P. Hofmann , F. -J. Jiang , M. Nyfeler , U. -J. Wiese

We investigate a variational theory for magnetoelastic solids under the incompressibility constraint. The state of the system is described by deformation and magnetization. While the former is classically related to the reference…

偏微分方程分析 · 数学 2015-01-08 Martin Kružík , Ulisse Stefanelli , Jan Zeman

The development of permanent magnets containing less or no rare-earth elements is linked to profound knowledge of the coercivity mechanism. Prerequisites for a promising permanent magnet material are a high spontaneous magnetization and a…

We propose a new class of finite element approximations to ideal compressible magnetohydrodynamic equations in smooth regime. Following variational approximations developed for fluid models in the last decade, our discretizations are built…

数值分析 · 数学 2024-02-29 Valentin Carlier , Martin Campos-Pinto

In this paper, we demonstrate the exactness proof for the energy-efficient train control (EETC) model based on convex optimization. The proof of exactness shows that the convex optimization model will share the same optimization results…

最优化与控制 · 数学 2022-02-15 Shaofeng Lu , Minling Feng , Kunpeng Wu