Results 131 to 140 of about 2,662,596 (297)
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
Asymptotic stability of integral sets
Доведено теореми про асимптотичну, еквіасимптотичну та рівномірно асимптотичну стійкість інтегральної множини неавтономної системи звичайних диференціальних рівнянь.We prove theorems on asymptotic, equiasymptotic, and uniform asymptotic stability of the ...
Игнатьев, А.О.
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
On the asymptotic stability of equilibrium
The author considers a system of ordinary differential equations \[ \frac{dx}{dt}=f(t,x) \] which has the zero solution \(x\equiv0\) as equilibrium. Sufficient conditions of its asymptotic stability and instability are obtained.
openaire +1 more source
Asymptotic stability of positive 2D linear systems with delays
Asymptotic stability of positive 2D linear systems with delays New necessary and sufficient conditions for the asymptotic stability of positive 2D linear systems with delays described by the general model, Fornasini-Marchesini models and Roesser ...
T. Kaczorek
core +1 more source
Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio +3 more
wiley +1 more source
Asymptotic stability for a nonlinear evolution equation [PDF]
summary:We establish the asymptotic stability of solutions of the mixed problem for the nonlinear evolution equation $(|u_t|^{r-2}u_t)_t-\Delta u_{tt}-\Delta u-\delta\Delta u_t=f(u)$
Chen Guowang +3 more
core
Asymptotic Stability of Controlling Uncertain Dynamical Systems
Asymptotic stabilization of general uncertain dynamical systems is investigated. A new theoretical result on asymptotical stability is presented. Based on the result, a new class of continuous feedback controls is proposed to guarantee asymptotic ...
Zhihua Qu, Qu, Zhihua
core +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source

