5 citations · 18 across the 8 of their papers we have counts for
8 papers
In-Context System Identification for Nonlinear Dynamics Using Large Language Models
Linyu Lin
Sparse Identification of Nonlinear Dynamics (SINDy) is a powerful method for discovering parsimonious governing equations from data, but it often requires expert tuning of candidat…
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
Paul Seurin, Auradha Annaswamy, Linyu Lin
Integrated energy systems (IES) are complex heterogeneous architectures that typically encompass power sources, hydrogen electrolyzers, energy storage, and heat exchangers. This in…
Advanced Transient Diagnostic with Ensemble Digital Twin Modeling
Edward Chen, Linyu Lin, Nam T. Dinh
The use of machine learning (ML) model as digital-twins for reduced-order-modeling (ROM) in lieu of system codes has grown traction over the past few years. However, due to the com…
Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System
Linyu Lin, Paridhi Athe, Pascal Rouxelin +4
The Nearly Autonomous Management and Control System (NAMAC) is a comprehensive control system that assists plant operations by furnishing control recommendations to operators in a…
Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review
Linyu Lin, Han Bao, Nam Dinh
A nearly autonomous management and control (NAMAC) system is designed to furnish recommendations to operators for achieving particular goals based on NAMAC's knowledge base. As a c…
Predictive Capability Maturity Quantification using Bayesian Network
Linyu Lin, Nam Dinh
In nuclear engineering, modeling and simulations (M&Ss) are widely applied to support risk-informed safety analysis. Since nuclear safety analysis has important implications, a con…