Cover Image

Sinkhorn Ambiguity Sets for Distributionally Robust Control: Convexity, Weak Compactness, and Tractability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cescon, Riccardo, Martin, Andrea, Ferrari-Trecate, Giancarlo
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-driven Distributionally Robust Control Based on Sinkhorn Ambiguity Sets
by: Cescon, Riccardo, et al.
Published: (2025)

On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control
by: Cescon, Riccardo, et al.
Published: (2025)

Neural Distributed Controllers with Port-Hamiltonian Structures
by: Zakwan, Muhammad, 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)

Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control
by: Martinelli, Daniele, et al.
Published: (2023)

Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
by: Zakwan, Muhammad, et al.
Published: (2024)

Moving horizon partition-based state estimation of large-scale systems -- Revised version
by: Farina, Marcello, et al.
Published: (2024)

Neural Exponential Stabilization of Control-affine Nonlinear Systems
by: Zakwan, Muhammad, et al.
Published: (2024)

Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems
by: Zhu, Pengbo, et al.
Published: (2024)

A graph-informed regret metric for optimal distributed control
by: Martinelli, Daniele, et al.
Published: (2025)

Regret Optimal Control for Uncertain Stochastic Systems
by: Martin, Andrea, et al.
Published: (2023)

Data-Driven Optimal Distributed Controller Synthesis via Spatial Regret
by: Gupta, Vaibhav, et al.
Published: (2026)

Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design
by: Galimberti, Clara Lucía, et al.
Published: (2024)

Distributionally Robust Density Control with Wasserstein Ambiguity Sets
by: Pilipovsky, Joshua, et al.
Published: (2024)

Resilient AFE Drive Control using Neural Networks with Tracking Guarantees
by: Kirsch, Nicolas, et al.
Published: (2025)

Boosting the transient performance of reference tracking controllers with neural networks
by: Kirsch, Nicolas, et al.
Published: (2025)

En Route Path-planning for Partially Occupied Vehicles in Ride-pooling Systems
by: Zhu, Pengbo, et al.
Published: (2025)

System Identification for Dynamic Modeling of Large Steering Angle Vehicles
by: Petri, Tobias, et al.
Published: (2025)

Stability-Preserving Online Adaptation of Neural Closed-loop Maps
by: Saccani, Danilo, et al.
Published: (2026)

Robust Convolution Neural ODEs via Contractivity-promoting regularization
by: Zakwan, Muhammad, et al.
Published: (2025)

A Coverage Control-based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
by: Zhu, Pengbo, et al.
Published: (2023)

PAC-Bayesian Optimal Control with Stability and Generalization Guarantees
by: Boroujeni, Mahrokh Ghoddousi, et al.
Published: (2025)

L2RU: a Structured State Space Model with prescribed L2-bound
by: Massai, Leonardo, et al.
Published: (2025)

Constrained Performance Boosting Control for Nonlinear Systems via ADMM
by: Giacomelli, Gianluca, et al.
Published: (2025)

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees
by: Boroujeni, Mahrokh Ghoddousi, et al.
Published: (2024)

Safe Zeroth-Order Optimization Using Quadratic Local Approximations
by: Guo, Baiwei, et al.
Published: (2023)

MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
by: Furieri, Luca, 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)

Learning stabilising policies for constrained nonlinear systems
by: Ravasio, Daniele, et al.
Published: (2025)

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets
by: Fochesato, Marta, et al.
Published: (2025)

Learning to Boost the Performance of Stable Nonlinear Systems
by: Furieri, Luca, et al.
Published: (2024)

Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)

Maximum likelihood inference for high-dimensional problems with multiaffine variable relations
by: Brouillon, Jean-Sébastien, et al.
Published: (2024)

Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
by: Taha, Feras Al, et al.
Published: (2025)

Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
by: Ghanipoor, Farhad, et al.
Published: (2025)

Policy Optimization in Robust Control: Weak Convexity and Subgradient Methods
by: Watanabe, Yuto, et al.
Published: (2025)

Neural Identification of Feedback-Stabilized Nonlinear Systems
by: Boroujeni, Mahrokh G., et al.
Published: (2025)

SIMBa: System Identification Methods leveraging Backpropagation
by: Di Natale, Loris, et al.
Published: (2023)

Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming
by: Doff-Sotta, Martin, et al.
Published: (2026)