Engineers rely on computational tools to develop new energy storage technologies, which are critical for capitalizing on ...

New soliton solutions to the NLSE with parabolic nonlinearity are being explored, featuring conservation laws and pulse ...

Even a toddler knows that plants need water. It's perhaps the first thing we learn about these green life-forms. But how ...

The linear quadratic control (LQC) problem of the original nonlinear system is transformed into an LQC problem with a model-free linear predictor. To determine the gain of an optimal feedback control ...

Oxford researchers have found that two of the most influential free AI chat models will give users different answers on ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Comparison of model fit. The maps display the median R 2 differences per SMAP grid between (a) the nonlinear and linear loss models, and (b) the nonlinear and τ-based linear loss models.

Araki started with a linear model of evapotranspiration based on time and soil moisture. She then introduced a nonlinear variable to account for how plants change their water use in response to ...

Using generalized linear or nonlinear models for the formulation of IRT models, such as the CRELLTM, there are the three required specifications, including (1) the random or distribution component, (2 ...

Nonlinear Model-Predictive Control Using Koopman Operator This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) . A nonlinear dynamic ...