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Related papers: Digital twins of nonlinear dynamical systems

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Digital Twins (DTs) are virtual representations of physical objects or processes that can collect information from the real environment to represent, validate, and replicate the physical twin's present and future behavior. The DTs are…

Networking and Internet Architecture · Computer Science 2023-05-26 S M Mostaq Hossain , Sohag Kumar Saha , Shampa Banik , Trapa Banik

Digital Twin (DT) has gained great interest as an innovative technology in Industry 4.0 that enables advanced modeling, simulation, and optimization of service and manufacturing systems. This article provides an extensive review of the…

General Mathematics · Mathematics 2026-01-26 Sarow Saeedi

Digital twins enable real-time simulation and prediction in engineering systems. This paper presents a novel framework for predictive digital twins of a headlamp heatsink, integrating physics-based reduced-order models (ROMs) from…

Machine Learning · Computer Science 2025-05-13 Tamilselvan Subramani , Sebastian Bartscher

Transformer architectures have recently surged as promising solutions for nonlinear dynamical systems, proposed as foundation models capable of zero-shot dynamics reconstruction and forecasting. Despite this success, it remains unclear…

Chaotic Dynamics · Physics 2026-05-06 Zheng-Meng Zhai , Celso Grebogi , Ying-Cheng Lai

Animal behavior reflects interactions between the nervous system, body, and environment. Therefore, biomechanics and environmental context must be considered to understand algorithms for behavioral control. Neuromechanical digital twins,…

Neurons and Cognition · Quantitative Biology 2026-04-14 Sibo Wang-Chen , Pavan Ramdya

Human digital twins (HDTs) are dynamic, data-driven virtual representations of individuals, continuously updated with multimodal data to simulate, monitor, and predict health trajectories. By integrating clinical, physiological, behavioral,…

Human-Computer Interaction · Computer Science 2025-08-19 Rong Pan , Hongyue Sun , Xiaoyu Chen , Giulia Pedrielli , Jiapeng Huang

The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent years. In particular, the field of autonomous vehicles is a…

Networking and Internet Architecture · Computer Science 2024-01-18 Kui Wang , Tao Yu , Zongdian Li , Kei Sakaguchi , Omar Hashash , Walid Saad

Digital Twins (DTs) are set to become a key enabling technology in future wireless networks, with their use in network management increasing significantly. We developed a DT framework that leverages the heterogeneity of network access…

Networking and Internet Architecture · Computer Science 2024-08-07 Roberto Morabito , Bivek Pandey , Paulius Daubaris , Yasith R Wanigarathna , Sasu Tarkoma

Digital twin (DT) enables smart manufacturing by leveraging real-time data, AI models, and intelligent control systems. This paper presents a state-of-the-art analysis on the emerging field of DTs in the context of milling. The critical…

Systems and Control · Electrical Eng. & Systems 2025-12-16 Wenyi Liu , R. Sharma , W. "Grace" Guo , J. Yi , Y. B. Guo

Digital Twins are digital replica of real entities and are becoming fundamental tools to monitor and control the status of entities, predict their future evolutions, and simulate alternative scenarios to understand the impact of changes.…

Computers and Society · Computer Science 2023-09-26 Lorenzo Adreani , Pierfrancesco Bellini , Marco Fanfani , Paolo Nesi , Gianni Pantaleo

The concept of a digital twin has exploded in popularity over the past decade, yet confusion around its plurality of definitions, its novelty as a new technology, and its practical applicability still exists, all despite numerous reviews,…

Machine Learning · Computer Science 2022-06-27 Brian Kunzer , Mario Berges , Artur Dubrawski

Modern transportation systems face growing challenges in managing traffic flow, ensuring safety, and maintaining operational efficiency amid dynamic traffic patterns. Addressing these challenges requires intelligent solutions capable of…

Machine Learning · Computer Science 2025-02-26 Hiya Bhatt , Sahil , Karthik Vaidhyanathan , Rahul Biju , Deepak Gangadharan , Ramona Trestian , Purav Shah

Digital Twins have emerged as a disruptive technology with great potential; they can enhance WDS by offering real-time monitoring, predictive maintenance, and optimization capabilities. This paper describes the development of a…

Computers and Society · Computer Science 2024-12-10 MohammadHossein Homaei , Agustín Javier Di Bartolo , Mar Ávila , Óscar Mogollón-Gutiérrez , Andrés Caro

Digital Twin technology creates virtual replicas of physical objects, processes, or systems by replicating their properties, data, and behaviors. This advanced technology offers a range of intelligent functionalities, such as modeling,…

Machine Learning · Computer Science 2024-08-26 Sagar Srinivas Sakhinana , Krishna Sai Sudhir Aripirala , Shivam Gupta , Venkataramana Runkana

Digital twins, used to represent physical systems, have been lauded as tools for understanding reality. Complex system behavior is typically captured in domain-specific models crafted by subject experts. Contemporary methods for employing…

Systems and Control · Electrical Eng. & Systems 2025-09-30 John Morris , Douglas L. Van Bossuyt , Edward Louis , Gregory Mocko , John Wagner

The demand for condition-based and predictive maintenance is rising across industries, especially for remote, high-value, and high-risk assets. In this article, the diagnostic digital twin concept is introduced, discussed, and implemented…

Machine Learning · Computer Science 2024-06-06 Florian Stadtmann , Adil Rasheed

Digital twins have become popular for their ability to monitor and optimize a process or a machine, ideally through its complete life cycle using simulations and sensor data. In this paper, we focus on the challenge of accurate and…

Systems and Control · Electrical Eng. & Systems 2023-10-30 Karim Cherifi , Philipp Schulze , Volker Mehrmann , Leo Goßlau , Pascal Lünnemann

This work shows how adaptivity can enhance value realization of digital twins in civil engineering. We focus on adapting the state transition models within digital twins represented through probabilistic graphical models. The bi-directional…

Machine Learning · Computer Science 2026-05-12 Eugenio Varetti , Matteo Torzoni , Marco Tezzele , Andrea Manzoni

Digital twinning in structural engineering is a rapidly evolving technology that aims to eliminate the gap between physical systems and their digital models through real-time sensing, visualization, and control techniques. Although Digital…

Applications · Statistics 2024-08-28 Zeyu Wang , Ziqi Wang

A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. The behaviour of a physical system changes over time, a DT must therefore be continually…

Machine Learning · Computer Science 2023-01-04 Felipe Montana , Adam Hartwell , Will Jacobs , Visakan Kadirkamanathan , Andrew R Mills , Tom Clark