:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Lim, Jasmin Y., Pylorof, Dimitrios, Garcia, Humberto E., Duraisamy, Karthik
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2506.17258
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Online Learning for Supervisory Switching Control
di: Sun, Haoyuan, et al.
Pubblicazione: (2026)

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
di: Sun, Yixuan, et al.
Pubblicazione: (2024)

An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models
di: Lim, Doyeong, et al.
Pubblicazione: (2025)

Data-driven Supervisory Control under Attacks via Spectral Learning
di: Smith, Nathaniel, et al.
Pubblicazione: (2025)

Control-Certified Wireless Resource Allocation for Digital-Twin-Enabled UAV Swarms
di: Luo, Qingyun, et al.
Pubblicazione: (2026)

Surrogate Modeling and Control of Medical Digital Twins
di: Fonseca, Luis L., et al.
Pubblicazione: (2024)

Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning
di: Menges, Daniel, et al.
Pubblicazione: (2024)

Opacity Enforcing Supervisory Control with a Priori Unknown Supervisors
di: Cui, Bohan, et al.
Pubblicazione: (2026)

Failsafe Mechanism Design of Multicopters Based on Supervisory Control Theory
di: Quan, Quan, et al.
Pubblicazione: (2017)

Extracting Koopman Operators for Prediction and Control of Non-linear Dynamics Using Two-stage Learning and Oblique Projections
di: Uchida, Daisuke, et al.
Pubblicazione: (2023)

Overview of Controllability Definitions in Supervisory Control Theory
di: Keiren, Jeroen J. A., et al.
Pubblicazione: (2025)

A Digital Twin Framework for Reinforcement Learning with Real-Time Self-Improvement via Human Assistive Teleoperation
di: Olayemi, Kabirat, et al.
Pubblicazione: (2024)

Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design
di: Ampleman, Stephen, et al.
Pubblicazione: (2025)

Supervisory Control Theory with Event Forcing
di: Reniers, Michel, et al.
Pubblicazione: (2024)

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning
di: Chen, Yi-Ping, et al.
Pubblicazione: (2025)

A Novel Approach to Grasping Control of Soft Robotic Grippers based on Digital Twin
di: Xiang, Tianyi, et al.
Pubblicazione: (2024)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
di: Yu, Hanzhi, et al.
Pubblicazione: (2026)

Bounded-Time Nonblocking Supervisory Control of Timed Discrete-Event Systems
di: Zhang, Renyuan, et al.
Pubblicazione: (2024)

Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory
di: Vinetti, Martina, et al.
Pubblicazione: (2025)

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
di: Tao, Zhenyu, et al.
Pubblicazione: (2023)

Supervisory Control of Discrete Event Systems for Small Language Under Cyber Attacks
di: Wang, Xiaojun, et al.
Pubblicazione: (2025)

Control of Medical Digital Twins with Artificial Neural Networks
di: Böttcher, Lucas, et al.
Pubblicazione: (2024)

Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
di: Liu, Zhenyu, et al.
Pubblicazione: (2026)

RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
di: Yelchuri, Harsha, et al.
Pubblicazione: (2025)

Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities
di: Xu, Xiaoxia, et al.
Pubblicazione: (2024)

Model Predictive Control of Nonlinear Dynamics Using Online Adaptive Koopman Operators
di: Uchida, Daisuke, et al.
Pubblicazione: (2024)

Data-driven Koopman Operator-based Prediction and Control Using Model Averaging
di: Uchida, Daisuke, et al.
Pubblicazione: (2024)

Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators: A Self-Improving Online Training Framework
di: Sun, Yuzhu, et al.
Pubblicazione: (2024)

Sustainability of Data Center Digital Twins with Reinforcement Learning
di: Sarkar, Soumyendu, et al.
Pubblicazione: (2024)

Digital Twin-based Cooperative Autonomous Driving in Smart Intersections: A Multi-Agent Reinforcement Learning Approach
di: Yu, Taoyuan, et al.
Pubblicazione: (2025)

A Linear Test for Global Nonlinear Controllability
di: Elamvazhuthi, Karthik
Pubblicazione: (2024)

A Game-Theoretical Approach for Optimal Supervisory Control of Discrete Event Systems under Energy Constraints
di: Lv, Peng, et al.
Pubblicazione: (2024)

Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin
di: Nobar, Mahdi, et al.
Pubblicazione: (2024)

Digital Twin-Enabled Blockage-Aware Dynamic mmWave Multi-Hop V2X Communication
di: Roongpraiwan, Supat, et al.
Pubblicazione: (2025)

Foundation Twins: A New Generation of Power Systems Digital Twins using Foundation AI Models
di: Vergara, Pedro P.
Pubblicazione: (2026)

Markov Clustering based Fully Automated Nonblocking Hierarchical Supervisory Control of Large-Scale Discrete-Event Systems
di: Liu, Yingying, et al.
Pubblicazione: (2025)

Explainable AI-Enhanced Supervisory Control for Robust Multi-Agent Robotic Systems
di: Pirayeshshirazinezhad, Reza, et al.
Pubblicazione: (2025)

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
di: Ma, Longfei, et al.
Pubblicazione: (2024)

Physics-Informed Unit Commitment Framework for Nuclear Reactors
di: Choudhury, Shiny, et al.
Pubblicazione: (2025)

A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors
di: Wu, Keshu, et al.
Pubblicazione: (2024)