Cover Image

L2RU: a Structured State Space Model with prescribed L2-bound

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Massai, Leonardo, Zakwan, Muhammad, Ferrari-Trecate, Giancarlo
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Neural Distributed Controllers with Port-Hamiltonian Structures
by: Zakwan, Muhammad, et al.
Published: (2024)

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

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

Stable Linear Subspace Identification: A Machine Learning Approach
by: Di Natale, Loris, et al.
Published: (2023)

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

Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators
by: Massai, Leonardo, et al.
Published: (2023)

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

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

MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
by: Furieri, Luca, et al.
Published: (2025)

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

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

Optimal distributed control with stability guarantees by training a network of neural closed-loop maps
by: Saccani, Danilo, et al.
Published: (2024)

System Identification for Dynamic Modeling of Large Steering Angle Vehicles
by: Petri, Tobias, 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)

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

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

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

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

Sinkhorn Ambiguity Sets for Distributionally Robust Control: Convexity, Weak Compactness, and Tractability
by: Cescon, Riccardo, et al.
Published: (2026)

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

Systolic Array-based Accelerator for Structured State-Space Models
by: Raja, Shiva, et al.
Published: (2025)

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

Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models
by: Hamdan, Emadeldeen, et al.
Published: (2024)

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

Safe Zeroth-Order Optimization Using Quadratic Local Approximations
by: Guo, Baiwei, 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)

Compression Method for Deep Diagonal State Space Model Based on $H^2$ Optimal Reduction
by: Sakamoto, Hiroki, et al.
Published: (2025)

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

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

Safety-Aware Performance Boosting for Constrained Nonlinear Systems
by: Saccani, Danilo, et al.
Published: (2026)

Layer-Adaptive State Pruning for Deep State Space Models
by: Gwak, Minseon, et al.
Published: (2024)

Space-Filling Regularization for Robust and Interpretable Nonlinear State Space Models
by: Klein, Hermann, et al.
Published: (2025)

Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)

State-Free Inference of State-Space Models: The Transfer Function Approach
by: Parnichkun, Rom N., et al.
Published: (2024)

Adversarial Robustness of Deep State Space Models for Forecasting
by: Anand, Sribalaji C., et al.
Published: (2026)

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

AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
by: Padhy, Apurba Prasad, et al.
Published: (2026)

Geometric SSM: LTI State Space Models for Selective Tasks
by: Casti, Umberto, et al.
Published: (2025)