Data-driven prediction in dynamical systems: recent developments

A Ghadami, BI Epureanu - Philosophical Transactions of …, 2022 - royalsocietypublishing.org
In recent years, we have witnessed a significant shift toward ever-more complex and ever-
larger-scale systems in the majority of the grand societal challenges tackled in applied …

Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections

C Huang, K Duraisamy - Journal of Computational Physics, 2023 - Elsevier
An adaptive projection-based reduced-order model (ROM) formulation is presented for
model-order reduction of problems featuring chaotic and convection-dominant physics. An …

A deep trajectory controller for a mechanical linear stage using digital twin concept

K Chaiprabha, R Chancharoen - Actuators, 2023 - mdpi.com
An industrial linear stage is a device that is commonly used in robotics. To be precise, an
industrial linear stage is an electro-mechanical system that includes a motor, electronics …

HORCRUX: Accurate cross band channel prediction

A Banerjee, X Zhao, V Chhabra, K Srinivasan… - Proceedings of the 30th …, 2024 - dl.acm.org
Recent advancement in Frequency Domain Duplexing (FDD) enables wireless systems to
use different frequency bands for uplink and downlink communication without explicit …

Digital-twin-enabled JIT design of rock tunnel: Methodology and application

X Li, L Tang, J Ling, C Chen, Y Shen, H Zhu - Tunnelling and Underground …, 2023 - Elsevier
An accurate and timely design of individual processes in drill and blast tunneling is essential
for robust and low-risk construction of rock tunnels. Conventional dynamic design method of …

Verification and Validation of Rotating Machinery Using Digital Twin

Y Yanik, S Ekwaro-Osire, JP Dias… - ASCE-ASME J …, 2024 - asmedigitalcollection.asme.org
Rotating machinery has extensive usage in industrial applications, either as leading
equipment (power plants) or as auxiliary equipment (oil and gas exploitation). These highly …

[HTML][HTML] A structure-preserving machine learning framework for accurate prediction of structural dynamics for systems with isolated nonlinearities

DA Najera-Flores, DD Quinn, A Garland… - … Systems and Signal …, 2024 - Elsevier
The nonlinearities present in structural systems are often found in isolated regions within the
structure, such as those containing joints or interfaces. However, despite the localized …

Multi-objective SINDy for parameterized model discovery from single transient trajectory data

JA Lemus, B Herrmann - arXiv preprint arXiv:2405.08771, 2024 - arxiv.org
The sparse identification of nonlinear dynamics (SINDy) has been established as an
effective technique to produce interpretable models of dynamical systems from time …

Control Strategies for Digital Twin Systems

GP Liu - IEEE/CAA Journal of Automatica Sinica, 2024 - ieeexplore.ieee.org
With the continuous breakthrough in information technology and its integration into practical
applications, industrial digital twins are expected to accelerate their development in the near …

Applications of Digital Twins in UAVs

N Sarantinoudis, N Vitzilaios… - … on Unmanned Aircraft …, 2024 - ieeexplore.ieee.org
In the recent years, Digital Twins (DTs) have been extensively used in numerous domains.
On vehicular applications specifically, most are focused on ground vehicles with proven …