:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tatari, Farzaneh, Trapp, Davis, Schneider, Jason, Aligoudarzi, Mohsen Mirza
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2406.08708
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fault-Tolerant Temperature Control of HRSG Superheaters: Stability Analysis Under Valve Leakage Using Physics-Informed Neural Networks
by: Fanoodi, Mojtaba, et al.
Published: (2025)

Skill-informed Data-driven Haptic Nudges for High-dimensional Human Motor Learning
by: Kamboj, Ankur, et al.
Published: (2026)

Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise
by: Pourghoraba, Ali, et al.
Published: (2024)

Multi-Material Topology Optimization with Continuous Magnetization Direction for Permanent Magnet Synchronous Reluctance Motors
by: Gauthey, Thomas, et al.
Published: (2021)

A Data-Driven Approach for Electric Vehicle Powertrain Modeling
by: Ipek, Eymen, et al.
Published: (2025)

Data Center Control Against Sub-Synchronous Resonance: A Data-Driven Approach
by: Ruan, Grant, et al.
Published: (2025)

A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
by: Paniccia, Damiano, et al.
Published: (2025)

Noise-driven Synchronization of Vicsek Model in Mean
by: Su, Wei, et al.
Published: (2025)

Data-driven Discovery of Invariant Measures
by: Bramburger, Jason J., et al.
Published: (2023)

Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen
by: Heiser, Yannick, et al.
Published: (2024)

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines
by: Li, Junyi, et al.
Published: (2026)

A Data-driven Predictive Control Architecture for Train Thermal Energy Management
by: Aboudonia, Ahmed, et al.
Published: (2025)

A Single Subject Machine Learning Based Classification of Motor Imagery EEGs
by: Sanalitro, Dario, et al.
Published: (2025)

Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach
by: Hajidavalloo, Mohammad R., et al.
Published: (2025)

Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning
by: Schmitt, Victor, et al.
Published: (2026)

On the Unification of Optimal Current Reference Theory for Wound Rotor Synchronous Machines
by: Parson-Scherban, Maxfield, et al.
Published: (2026)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
by: Samiullah, Muhammad, et al.
Published: (2024)

AI-driven, Model-Free Current Control: A Deep Symbolic Approach for Optimal Induction Machine Performance
by: Usama, Muhammad, et al.
Published: (2024)

Negative Imaginary and Passivity Properties of Synchronous Machine Systems
by: Khodabakhshloo, Maryam, et al.
Published: (2026)

Nonlinear Magnetics Model for Permanent Magnet Synchronous Machines Capturing Saturation and Temperature Effects
by: Srinivasan, Kishan, et al.
Published: (2024)

Data-driven Construction of Finite Abstractions for Interconnected Systems: A Compositional Approach
by: Ajeleye, Daniel, et al.
Published: (2024)

Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
by: Lu, Wei, et al.
Published: (2026)

Data-driven Learning of LPV Surrogate Models of Fuel Sloshing
by: Olucha, E. Javier, et al.
Published: (2026)

Battery Discharge Modeling for Electric Vehicles: A Hybrid Physics-based Residual Learning Approach
by: Aryasomayajula, Praharshitha, et al.
Published: (2026)

Motor State Prediction and Friction Compensation for Brushless DC Motor Drives Using Data-Driven Techniques
by: Dasanayake, Nimantha, et al.
Published: (2023)

Merging Physics-Based Synthetic Data and Machine Learning for Thermal Monitoring of Lithium-ion Batteries: The Role of Data Fidelity
by: Zheng, Yusheng, et al.
Published: (2025)

Reinforcement Learning for Motor Control: A Comprehensive Review
by: Kazemikia, Danial
Published: (2024)

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
by: Winkler, Alexander, et al.
Published: (2025)

System Identification of Lithium-Ion Battery Equivalent Circuit Models Using Ensemble Kalman Inversion
by: Barat, Farzaneh, et al.
Published: (2026)

Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
by: Kilickaya, Sertac, et al.
Published: (2025)

Geometric Fault-Tolerant Neural Network Tracking Control of Unknown Systems on Matrix Lie Groups
by: Chhabra, Robin, et al.
Published: (2025)

Data-driven input-to-state stabilization
by: Chen, Hailong, et al.
Published: (2024)

Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
by: Zhu, Shuyang, et al.
Published: (2024)

Data-driven Invariance for Reference Governors
by: Kashani, Ali, et al.
Published: (2023)

Human Motor Learning Dynamics in High-dimensional Tasks
by: Kamboj, Ankur, et al.
Published: (2024)

PINN vs LSTM: A Comparative Study for Steam Temperature Control in Heat Recovery Steam Generators
by: Fanoodi, Mojtaba, et al.
Published: (2025)

A Thermal-Electrical Co-Optimization Framework for Active Distribution Grids with Electric Vehicles and Heat Pumps
by: Panagi, Savvas, et al.
Published: (2026)

Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches
by: Shokati, Mehrshad, et al.
Published: (2024)

Healthcare Facility Assignment Using Real-Time Length-of-Stay Predictions: Queuing-Theoretic and Simulation-driven Machine Learning Approaches
by: Fatma, Najiya, et al.
Published: (2026)

Synergies between AI Computing and Power Systems: Metrics, Scheduling, and Resilience
by: Pourahmadi, Farzaneh, et al.
Published: (2025)