Results 1 to 10 of about 907,184 (299)

Dissipative stability theory for linear repetitive processes with application in iterative learning control [PDF]

open access: closed, 2009
This paper develops a new set of necessary and sufficient conditionsfor the stability of linear repetitiveprocesses, based on a dissipative setting for analysis. Theseconditions reduce the problem of determining whether a linearrepetitive process is stable or not to that of checking for theexistence of a solution to a set of linear matrixinequalities ...
Wojuech Paszke   +3 more
core   +6 more sources

A combined machine learning and density functional theory study of binary Ti-Nb and Ti-Zr alloys: Stability and Young’s modulus

open access: bronzeComputational Materials Science, 2020
Abstract The multicomponent Ti alloys, specifically the β -phase, have experienced a strong growth over the last decades, due to their outstanding properties of ultra-high strength and low Young’s modulus. These properties play a significant role in many aerospace and biomedical applications.
Sangqi Xiong   +7 more
openalex   +4 more sources

EMOTIONAL STABILITY AND MOTIVATION OF 21ST CENTURY LEARNERS: A COMPARATIVE REVIEW OF LEARNING THEORIES

open access: hybridQuantum Journal of Social Sciences and Humanities, 2022
The education model in the 21st century shall be learner-centered. Learners are expected to be independent to engage in self-directed learning with the integration of technological tools in developing necessary 21st century skills. However, the foundation of this education model shall not be neglected as positive emotion and motivation are the ...
Dennis Chan Paul Leong
openalex   +3 more sources

Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning [PDF]

open access: green
This paper introduces a framework to address the critical loss of transient stability caused by reduced inertia in grids with high inverter-based resource (IBR) penetration. The proposed method integrates a predictive deep learning (DL) model with information gap decision theory (IGDT) to create a risk-averse dispatch strategy.
Amin Masoumi, Mert Korkali
openalex   +3 more sources

Li$_x$CoO$_2$ phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories

open access: green, 2021
Li$_xTM$O$_2$ (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability as a function of Li content at the atomistic scale. Here, we use Li$_x$CoO$_2$ (LCO) as a model system to benchmark a scale-bridging framework that combines density ...
Gregory H. Teichert   +5 more
openalex   +4 more sources

Research on Power System Transient Stability Assessment Based on Statistical Learning Theory [PDF]

open access: goldProceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering, 2016
Wanyu Xu
openalex   +4 more sources

Stability Theory of Universal Learning Network

open access: bronzeIEEJ Transactions on Electronics, Information and Systems, 1996
Kotaro Hirasawa   +2 more
openalex   +4 more sources

On the stability of two functional equations arising in mathematical biology and theory of learning [PDF]

open access: bronzeCreative Mathematics and Informatics, 2019
Aynur Şahin   +2 more
openalex   +2 more sources

Stability and NMR Chemical Shift of Amorphous Precursors of Methane Hydrate: Insights from Dispersion-Corrected Density Functional Theory Calculations Combined with Machine Learning

open access: closedThe Journal of Physical Chemistry B, 2020
Clathrate hydrates of natural gases are important backup energy sources. It is thus of great significance to explore the nucleation process of hydrates. Hydrate clusters are building blocks of crystalline hydrates and represent the initial stage of hydrate nucleation.
Keyao Li   +5 more
openalex   +5 more sources

Home - About - Disclaimer - Privacy