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

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
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

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

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

Convex superposition in piecewise-linear systems

Journal of Mathematical Analysis and Applications, 1963
AbstractPiecewise-linear systems of the type that arise in relay servomechanisms or problems involving Coulomb friction, which are usually regarded as nonlinear, are shown here to exhibit linear behavior in some circumstances. Specifically, for certain sets of input signals (or forcing functions) and associated responses, the responses are linear in ...
openaire   +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