:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mengozzi, Sebastiano, Esposito, Giovanni B., Bin, Michelangelo, Acquaviva, Andrea, Bartolini, Andrea, Marconi, Lorenzo
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.13595
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Regulation without calibration
by: Sepulchre, Rodolphe, et al.
Published: (2025)

Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems
by: Lu, Maobin, et al.
Published: (2025)

Reliability entails input-selective contraction and regulation in excitable networks
by: Bin, Michelangelo, et al.
Published: (2025)

SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
by: Mansur, Murat Furkan, et al.
Published: (2026)

Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025)

Event disturbance rejection: a case study
by: Cecconi, Alessandro, et al.
Published: (2025)

On the Contraction of Excitable Systems
by: Cecconi, Alessandro, et al.
Published: (2025)

Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
by: Xie, Kedi, et al.
Published: (2025)

Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
by: Fang, Shiming, et al.
Published: (2024)

Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstruction
by: Chen, Wangqian, et al.
Published: (2025)

Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation
by: Serry, Mohamed, et al.
Published: (2025)

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
by: Reiter, Rudolf, et al.
Published: (2024)

Adaptive Informed Deep Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2024)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
by: Li, Haoyu, et al.
Published: (2026)

Project resilience as network robustness
by: Piccolo, Sebastiano A., et al.
Published: (2026)

Neural Policy Composition from Free Energy Minimization
by: Rossi, Francesca, et al.
Published: (2025)

Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
by: Dutta, Ujjal Kr, et al.
Published: (2023)

Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
by: Lamarque, Maxence, et al.
Published: (2024)

Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
by: Kong, Chun-Wei, et al.
Published: (2024)

KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
by: Dogoulis, Pantelis, et al.
Published: (2025)

Specification Generation for Neural Networks in Systems
by: Chaudhary, Isha, et al.
Published: (2024)

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
by: Wang, Tianyi, et al.
Published: (2026)

Kernel-Based Learning of Stable Nonlinear Systems
by: Scandella, Matteo, et al.
Published: (2024)

Verification of Neural Network Control Systems in Continuous Time
by: ArjomandBigdeli, Ali, et al.
Published: (2024)

Neural Network Tire Force Modeling for Automated Drifting
by: Broadbent, Nicholas Drake, et al.
Published: (2024)

BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
by: Zhou, Songqi, et al.
Published: (2025)

Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis
by: Zhao, Hong, et al.
Published: (2024)

Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach
by: Tian, Kexin, et al.
Published: (2024)

Identification For Control Based on Neural Networks: Approximately Linearizable Models
by: Thieffry, Maxime, et al.
Published: (2024)

Neural Network-Assisted Model Predictive Control for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2026)

GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
by: Zeng, Hongtai, et al.
Published: (2024)

Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)

Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review
by: Nyangon, Joseph
Published: (2026)

Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging
by: Espin, Jorge, et al.
Published: (2024)

Frequency Control in Microgrids: An Adaptive Fuzzy-Neural-Network Virtual Synchronous Generator
by: Breesam, Waleed, et al.
Published: (2025)

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
by: Tayal, Manan, et al.
Published: (2025)

Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
by: Abdullah, Mohammed Ezzaldin Babiker, et al.
Published: (2026)

Offline Reinforcement Learning for Microgrid Voltage Regulation
by: Yang, Shan, et al.
Published: (2025)

Foundation Models for Structural Health Monitoring
by: Benfenati, Luca, et al.
Published: (2024)