Results 61 to 70 of about 179,380 (196)

EEG-Based Detection of Induced Relaxation

IEEE Access
Relaxation, which refers to the absence of tension and stress, is important for health because extended periods of tension may lead to illness. This study detected induced relaxation through electroencephalography (EEG) for the real-time monitoring of ...
Bunyarat Umsura, Wanus Srimaharaj, Phakkharawat Sittiprapaporn, Nina Bencheva, Ratchuporn Suksathan, Roungsan Chaisricharoen   +5 more
doaj   +1 more source

Towards tensor-based methods for the numerical approximation of the Perron-Frobenius and Koopman operator

, 2016
The global behavior of dynamical systems can be studied by analyzing the eigenvalues and corresponding eigenfunctions of linear operators associated with the system.
Klus, Stefan, Schütte, Christof
core   +1 more source

Extended dynamic mode decomposition for model reduction in fluid dynamics simulations

Physics of Fluids
High computational cost and storage/memory requirements of fluid dynamics simulations constrain their usefulness as a predictive tool. Reduced-order models (ROMs) provide a viable solution to this challenge by extracting the key underlying dynamics of a complex system directly from data. We investigate the efficacy and robustness of an extended dynamic
Giulia Libero, Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky   +3 more
openaire   +2 more sources

Identification of Dielectric Response Parameters of Pumped Storage Generator-Motor Stator Winding Insulation Based on Sparsity-Enhanced Dynamic Decomposition of Depolarization Current

Energies
Accurate diagnosis of the insulation condition of stator windings in pumped storage generator-motor units is crucial for ensuring the safe and stable operation of power systems.
Guangya Zhu, Shiyu Ma, Shuai Yang, Yue Zhang, Bingyan Wang, Kai Zhou   +5 more
doaj   +1 more source

Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians

, 2017
In this paper we propose a new Koopman operator approach to the decomposition of nonlinear dynamical systems using Koopman Gramians. We introduce the notion of an input-Koopman operator, and show how input-Koopman operators can be used to cast a ...
alvin, clevert, dullerud, fredrik, korda, korf, li, mung, nitish, proctor, yeung, yeung   +11 more
core   +1 more source

Advancing Logistics Management: E3L-Net for Predictive Demand Analytics

IEEE Access
The essence of smart logistics lies in leveraging information resources and intellectual assets to efficiently and precisely match the multidimensional demands and supplies within the logistics system.
Yao Lu
doaj   +1 more source

Low-Order Electrochemical State Estimation for Li-Ion Batteries

Algorithms, 2023
Batteries are complex systems involving spatially distributed microscopic mechanisms on different time scales whose adequate interplay is essential to ensure a desired functioning.
Higuatzi Moreno, Alexander Schaum
doaj   +1 more source

Looseness Identification of Transmission Tower Based on Inertial Measurement

IEEE Access
Transmission towers play a critical role in power systems. In this study, we propose an innovative approach for the structural health monitoring of transmission towers with the aim of accurately identifying structural looseness and its location ...
Liuyang Shen, Jinxian Yang
doaj   +1 more source

Study of the Hypergeometric Equation via Data Driven Koopman-EDMD Theory

Axioms, 2023
We consider a data-driven method, which combines Koopman operator theory with Extended Dynamic Mode Decomposition. We apply this method to the hypergeometric equation which is the Fuchsian equation with three regular singular points.
Evangelos Melas, Costas Poulios, Elias Camouzis, John Leventides, Nick Poulios   +4 more
doaj   +1 more source

Koopman operator-based model reduction for switched-system control of PDEs

, 2019
We present a new framework for optimal and feedback control of PDEs using Koopman operator-based reduced order models (K-ROMs). The Koopman operator is a linear but infinite-dimensional operator which describes the dynamics of observables.
Klus, Stefan, Peitz, Sebastian
core   +1 more source