Stability-Preserving Online Adaptation of Neural Closed-loop Maps
Fuente:
arXiv
Saved in:
| Main Authors: | Saccani, Danilo, Furieri, Luca, Ferrari-Trecate, Giancarlo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal distributed control with stability guarantees by training a network of neural closed-loop maps
by: Saccani, Danilo, et al.
Published: (2024)
by: Saccani, Danilo, et al.
Published: (2024)
A graph-informed regret metric for optimal distributed control
by: Martinelli, Daniele, et al.
Published: (2025)
by: Martinelli, Daniele, et al.
Published: (2025)
Safety-Aware Performance Boosting for Constrained Nonlinear Systems
by: Saccani, Danilo, et al.
Published: (2026)
by: Saccani, Danilo, et al.
Published: (2026)
Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators
by: Massai, Leonardo, et al.
Published: (2023)
by: Massai, Leonardo, et al.
Published: (2023)
Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design
by: Galimberti, Clara Lucía, et al.
Published: (2024)
by: Galimberti, Clara Lucía, et al.
Published: (2024)
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
by: Furieri, Luca, et al.
Published: (2025)
by: Furieri, Luca, et al.
Published: (2025)
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)
by: Cao, John, et al.
Published: (2025)
Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control
by: Martinelli, Daniele, et al.
Published: (2023)
by: Martinelli, Daniele, et al.
Published: (2023)
On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control
by: Cescon, Riccardo, et al.
Published: (2025)
by: Cescon, Riccardo, et al.
Published: (2025)
Safe Zeroth-Order Optimization Using Quadratic Local Approximations
by: Guo, Baiwei, et al.
Published: (2023)
by: Guo, Baiwei, et al.
Published: (2023)
Learning stabilising policies for constrained nonlinear systems
by: Ravasio, Daniele, et al.
Published: (2025)
by: Ravasio, Daniele, et al.
Published: (2025)
Learning to Boost the Performance of Stable Nonlinear Systems
by: Furieri, Luca, et al.
Published: (2024)
by: Furieri, Luca, et al.
Published: (2024)
Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers
by: Brouillon, Jean-Sébastien, et al.
Published: (2023)
by: Brouillon, Jean-Sébastien, et al.
Published: (2023)
Constrained Performance Boosting Control for Nonlinear Systems via ADMM
by: Giacomelli, Gianluca, et al.
Published: (2025)
by: Giacomelli, Gianluca, et al.
Published: (2025)
Data-Driven Optimal Distributed Controller Synthesis via Spatial Regret
by: Gupta, Vaibhav, et al.
Published: (2026)
by: Gupta, Vaibhav, et al.
Published: (2026)
Regret Optimal Control for Uncertain Stochastic Systems
by: Martin, Andrea, et al.
Published: (2023)
by: Martin, Andrea, et al.
Published: (2023)
Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees
by: Bartos, Marcell, et al.
Published: (2025)
by: Bartos, Marcell, et al.
Published: (2025)
Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Neural Exponential Stabilization of Control-affine Nonlinear Systems
by: Zakwan, Muhammad, et al.
Published: (2024)
by: Zakwan, Muhammad, et al.
Published: (2024)
Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms
by: Martin, Andrea, et al.
Published: (2025)
by: Martin, Andrea, et al.
Published: (2025)
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
by: Zeng, Hongtai, et al.
Published: (2024)
by: Zeng, Hongtai, et al.
Published: (2024)
Neural Distributed Controllers with Port-Hamiltonian Structures
by: Zakwan, Muhammad, et al.
Published: (2024)
by: Zakwan, Muhammad, et al.
Published: (2024)
Forward and Backward Reachability Analysis of Closed-loop Recurrent Neural Networks via Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2026)
by: Zhang, Yuhao, et al.
Published: (2026)
Performance Index Shaping for Closed-loop Optimal Control
by: Rai, Ayush, et al.
Published: (2025)
by: Rai, Ayush, et al.
Published: (2025)
Closed-loop design for scalable performance of vehicular formations
by: Hansson, Jonas, et al.
Published: (2024)
by: Hansson, Jonas, et al.
Published: (2024)
Wisdom of Crowds Through Myopic Self-Confidence Adaptation
by: Como, Giacomo, et al.
Published: (2025)
by: Como, Giacomo, et al.
Published: (2025)
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)
by: Lawrence, Nathan P., et al.
Published: (2023)
Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
by: Zuliani, Riccardo, et al.
Published: (2024)
by: Zuliani, Riccardo, et al.
Published: (2024)
Singular Arcs in Optimal Control: Closed-loop Implementations without Workarounds
by: Ramesh, Nikilesh, et al.
Published: (2025)
by: Ramesh, Nikilesh, et al.
Published: (2025)
Using Laplace Transform To Optimize the Hallucination of Generation Models
by: Kang, Cheng, et al.
Published: (2026)
by: Kang, Cheng, et al.
Published: (2026)
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
by: Huang, Chenghao, et al.
Published: (2026)
by: Huang, Chenghao, et al.
Published: (2026)
Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
by: Takubo, Yuji, et al.
Published: (2026)
by: Takubo, Yuji, et al.
Published: (2026)
Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
by: Lee, Donghwan
Published: (2026)
by: Lee, Donghwan
Published: (2026)
Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
by: Merati, Mohammad, et al.
Published: (2026)
by: Merati, Mohammad, et al.
Published: (2026)
Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
by: Fan, Jiarong, et al.
Published: (2025)
by: Fan, Jiarong, et al.
Published: (2025)
Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
by: Wu, Jingyi, et al.
Published: (2025)
by: Wu, Jingyi, et al.
Published: (2025)
Safe Control and Learning Using Generalized Action Governor
by: Fang, Peiyuan, et al.
Published: (2022)
by: Fang, Peiyuan, et al.
Published: (2022)
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)
by: Liu, Changrui, et al.
Published: (2025)
Towards a constructive framework for control theory
by: Osinenko, Pavel
Published: (2025)
by: Osinenko, Pavel
Published: (2025)
Similar Items
-
Optimal distributed control with stability guarantees by training a network of neural closed-loop maps
by: Saccani, Danilo, et al.
Published: (2024) -
A graph-informed regret metric for optimal distributed control
by: Martinelli, Daniele, et al.
Published: (2025) -
Safety-Aware Performance Boosting for Constrained Nonlinear Systems
by: Saccani, Danilo, et al.
Published: (2026) -
Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators
by: Massai, Leonardo, et al.
Published: (2023) -
Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design
by: Galimberti, Clara Lucía, et al.
Published: (2024)