Cover Image

Meta-Learning for Physically-Constrained Neural System Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chakrabarty, Ankush, Wichern, Gordon, Deshpande, Vedang M., Vinod, Abraham P., Berntorp, Karl, Laughman, Christopher R.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

$\mathcal{H}_2/\mathcal{H}_\infty$ Optimal Control with Sparse Sensing and Actuation
by: Deshpande, Vedang M., et al.
Published: (2024)

pycvxset: A Python package for convex set manipulation
by: Vinod, Abraham P.
Published: (2024)

MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models
by: Yan, Jiaqi, et al.
Published: (2024)

RHYME-XT: A Neural Operator for Spatiotemporal Control Systems
by: Ruiter, Marijn, et al.
Published: (2026)

Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)

Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
by: Shi, Kanghong, et al.
Published: (2025)

Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)

Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)

Projection-free computation of robust controllable sets with constrained zonotopes
by: Vinod, Abraham P., et al.
Published: (2024)

Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
by: Sivaranjani, S., et al.
Published: (2025)

Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)

Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)

Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
by: Liu, Jun, et al.
Published: (2023)

Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems
by: Zhai, Hanfeng, et al.
Published: (2026)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)

CLT-Optimal Parameter Error Bounds for Linear System Identification
by: Zhou, Yichen, et al.
Published: (2026)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)

Outlier-Robust Linear System Identification Under Heavy-tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2024)

Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2025)

Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024)

Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
by: Sattar, Yahya, et al.
Published: (2021)

Forward Invariance in Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)

Communication-Efficient Stochastic Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Formally Verified Physics-Informed Neural Control Lyapunov Functions
by: Liu, Jun, et al.
Published: (2024)

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2026)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)

Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
by: Li, Haoyu, et al.
Published: (2025)

Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)

Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024)

Communication-Efficient Learning for Satellite Constellations
by: Tudose, Ruxandra-Stefania, et al.
Published: (2025)

On Building Myopic MPC Policies using Supervised Learning
by: Orrico, Christopher A., et al.
Published: (2024)

Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024)

Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
by: Liao, Qijun, et al.
Published: (2026)

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)

Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
by: Ajeyemi, Damola, et al.
Published: (2025)