Results 91 to 100 of about 172,286 (287)

The American Medical Association’s Work for Consumer Protection [PDF]

, 1933
The aim of the given paper is the development of an approach for the identification of affine Wiener systems with piecewise linear nonlinearities, i.e.
Fishbein, Morris
core   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Robust Tube-Based MPC with Piecewise Affine Control Laws

Abstract and Applied Analysis, 2014
This paper presents a tube-based model predictive control (MPC) algorithm with piecewise affine control laws for discrete-time linear systems in the presence of bounded disturbances.
Meng Zhao, Xiaoming Tang
doaj   +1 more source

Analysis of collision vibration in two-degree-of-freedom system without damping subjected to periodic excitation (Derivation of analytical solutions for 1/2nd order sub-harmonic resonance)

Nihon Kikai Gakkai ronbunshu, 2016
Collision vibration systems are usually modeled as a nonlinear spring whose characteristics are described by the broken line model. These systems are called piecewise-linear systems.
Tatsuhito AIHARA, Hiroyuki KUMANO
doaj   +1 more source

Bifurcations and Chaos in Time Delayed Piecewise Linear Dynamical Systems

, 2004
We reinvestigate the dynamical behavior of a first order scalar nonlinear delay differential equation with piecewise linearity and identify several interesting features in the nature of bifurcations and chaos associated with it as a function of the delay
D. V. SENTHILKUMAR, Gwynne P., Lu H., M. LAKSHMANAN, Ott E., Schuster H. G.   +5 more
core   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Analysis of collision vibration in two-degree-of-freedom system without damping subjected to periodic excitation (Derivation of analytical solutions for 2nd order super harmonic resonance)

Nihon Kikai Gakkai ronbunshu, 2016
Collision vibration systems are usually modeled as a nonlinear spring whose characteristics are described by the broken line model. These systems are called piecewise-linear systems.
Tatsuhito AIHARA, Hiroyuki KUMANO
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

METHOD OF SYNTHESIS OF NONLINEAR SYSTEMS WITH THE APPROXIMATED CONTROL LAWS

Вестник Северо-Кавказского федерального университета, 2022
The article describes the features of synthesis of nonlinear systems in which controls are formed on the basis of approximating functions of state. The current state of the theory and applications of the method of approximating the control by energy ...
Elena Lubentsova, Valery Lubentsov
doaj