Results 141 to 150 of about 172,286 (287)

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source

Piecewise Linear Identification of Nonlinear Systems

, 1986
Methods of identifying a series of piecewise linear models which approximate to a nonlinear system over some operating range are investigated. Both spatial linear models and models with signal dependent parameters are considered.
Billings, S.A., Voon, W.S.F.
openaire  

Modelling Sustainability Performance in Manufacturing Companies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Nowadays, organisations need to operate with economic, social and environmental goals in mind. Indices objectively quantify such goals; hence, an organisation can develop and compare policies based on future index values. We propose a system dynamics‐based model of a manufacturing company that frames its operations in terms of a set of easily ...
Harol Andrey Avila‐Choconta, Liliana Ruiz‐Acosta, David Andrés Camargo‐Mayorga, Mario Andrés Muñoz   +3 more
wiley   +1 more source

Characterizing early behavioral and social–emotional problems in young children with SCN1A+ Dravet syndrome: Findings from the ENVISION prospective natural history study

Epilepsia, EarlyView.
Abstract Objective Dravet syndrome (DS) is the prototypic developmental and epileptic encephalopathy, characterized by drug‐resistant seizures, developmental slowing, and many other morbidities. Detailed characterization of behavioral phenotypes and social–emotional skill development are limited.
Ingrid E. Scheffer, M. Scott Perry, Joseph Sullivan, Susana Boronat, James Wheless, Andreas Brunklaus, Linda Laux, Anup D. Patel, Colin Roberts, Dennis Dlugos, Deborah Holder, Kelly Knupp, Matt Lallas, Steven Phillips, Eric Segal, Dennis Lal, Elaine Wirrell, Sameer M. Zuberi, Rebecca Shaffer, Mary Wojnaroski, Madison M. Berl, Sarah Christensen, Emma S. James, Maria Candida Vila, Norman Huang, Jacqueline S. Gofshteyn, Salvador Rico   +26 more
wiley   +1 more source

PWLTool, a Matlab Toolbox for Piecewise Linear System [PDF]

, 1999
This manual describes a Matlab toolbox for computational analysis of piecewise linear systems. Key features of the toolbox are modeling, simulation, analysis, and optimal control for piecewise linear systems. The simulation routines detect sliding modes and simulate equivalent dynamics.
Hedlund, Sven, Johansson, Mikael
openaire   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source