Results 181 to 190 of about 1,082,543 (312)

Real‐Time Optimal Control of High‐Dimensional Parametrized Systems by Deep Learning‐Based Reduced Order Models

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Steering a system towards a desired target in a very short amount of time is a challenging task from a computational standpoint. Indeed, the intrinsically iterative nature of optimal control problems requires multiple simulations of the state of the physical system to be controlled. Moreover, the control action needs to be updated whenever the
Matteo Tomasetto, Andrea Manzoni, Francesco Braghin   +2 more
wiley   +1 more source

Modularized data-driven approximation of the Koopman operator and generator [PDF]

Yang Guo, Manuel Schaller, Karl Worthmann, Stefan Streif   +3 more
openalex   +1 more source

Delayformer: Spatiotemporal Transformation for Predicting High‐Dimensional Dynamics

Advanced Science, Volume 13, Issue 3, 14 January 2026.
Delayformer introduces a multivariate spatiotemporal transformation (mvSTI) that converts observed variables into delay‐embedded states and cross‐learns their dynamics using a shared Vision Transformer encoder. This approach, grounded in dynamical systems theory, simultaneously predicts all variables in high‐dimensional systems, outperforming state‐of ...
Zijian Wang, Peng Tao, Luonan Chen
wiley   +1 more source

Measuring Currency Risk Premium: The Case of Turkey

International Journal of Finance &Economics, Volume 31, Issue 1, Page 4-28, January 2026.
ABSTRACT This study examines the determinants of a change in currency expectations for the Turkish Lira (TL) versus the US dollar with different maturities (1 month, 3 months and 1 year). The risk premium is estimated using the interest rate differential and a latent component called the missing risk premium.
Idil Uz Akdogan, Ferda Halicioglu, Ishak Demir   +2 more
wiley   +1 more source

Data Driven Modeling of Turbocharger Turbine using Koopman Operator

, 2022
Shrenik Zinage, Suyash Jadhav, Yifei Zhou, Ilias Bilionis, Peter H. Meckl   +4 more
openalex   +1 more source

Analysis of Methyl Substitution in Phenolic Compounds as Potential Biofuel Additives: From Solid‐State Description to Antioxidant Potential

ChemistrySelect, Volume 11, Issue 2, 15 January 2026.
The rising demand for renewable energy points to biodiesel as a viable fossil fuel alternative, yet its limited oxidative stability remains a challenge. This study reveals that methyl‐substituted hydroquinone derivatives exhibit enhanced antioxidant capacity, suggesting their promise as biofuel additives.
João P. M. Rodrigues, Antônio S. N. Aguiar, Aline S. Muniz, Maria A. F. César‐Oliveira, Angelo R. S. Oliveira, Hamilton B. Napolitano   +5 more
wiley   +1 more source

Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. [PDF]

IEEE Trans Med Imaging
Zhou Z, Dan T, Wu G.
europepmc   +1 more source

Identification of Crude Distillation Unit: A Comparison between Neural Network and Koopman Operator [PDF]

Abdulrazaq Nafiu Abubakar, Mustapha K. Khaldi, Mujahed Al‐Dhaifallah, Rohit S. Patwardhan, Hussain S. Salloum   +4 more
openalex   +1 more source

Time‐Varying Inertia Estimation for Grid‐Connected DFIG‐Based Wind Farms Using Sensitivity‐Guided Clustering and Aggregation

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li, Wei Yao, Yongxin Xiong, Hongyu Zhou, Shanyang Wei, Wei Huang, Jinyu Wen   +6 more
wiley   +1 more source

A Koopman Operator Approach to Data-Driven Control of Semilinear Parabolic Systems [PDF]

Joachim Deutscher, Tarik Enderes
openalex   +1 more source