Maximum likelihood inference for high-dimensional problems with multiaffine variable relations
Fuente:
arXiv
Guardado en:
| Autores principales: | Brouillon, Jean-Sébastien, Dörfler, Florian, Ferrari-Trecate, Giancarlo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2023)
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2023)
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2024)
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2024)
Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
por: Zakwan, Muhammad, et al.
Publicado: (2024)
por: Zakwan, Muhammad, et al.
Publicado: (2024)
L2RU: a Structured State Space Model with prescribed L2-bound
por: Massai, Leonardo, et al.
Publicado: (2025)
por: Massai, Leonardo, et al.
Publicado: (2025)
Robust Convolution Neural ODEs via Contractivity-promoting regularization
por: Zakwan, Muhammad, et al.
Publicado: (2025)
por: Zakwan, Muhammad, et al.
Publicado: (2025)
Learning to Boost the Performance of Stable Nonlinear Systems
por: Furieri, Luca, et al.
Publicado: (2024)
por: Furieri, Luca, et al.
Publicado: (2024)
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
por: Furieri, Luca, et al.
Publicado: (2025)
por: Furieri, Luca, et al.
Publicado: (2025)
Controller Design for Structured State-space Models via Contraction Theory
por: Zakwan, Muhammad, et al.
Publicado: (2026)
por: Zakwan, Muhammad, et al.
Publicado: (2026)
Regret Optimal Control for Uncertain Stochastic Systems
por: Martin, Andrea, et al.
Publicado: (2023)
por: Martin, Andrea, et al.
Publicado: (2023)
Stable Linear Subspace Identification: A Machine Learning Approach
por: Di Natale, Loris, et al.
Publicado: (2023)
por: Di Natale, Loris, et al.
Publicado: (2023)
Neural Distributed Controllers with Port-Hamiltonian Structures
por: Zakwan, Muhammad, et al.
Publicado: (2024)
por: Zakwan, Muhammad, et al.
Publicado: (2024)
On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control
por: Cescon, Riccardo, et al.
Publicado: (2025)
por: Cescon, Riccardo, et al.
Publicado: (2025)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
por: Authier, Jules, et al.
Publicado: (2023)
por: Authier, Jules, et al.
Publicado: (2023)
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
por: He, Zhiyu, et al.
Publicado: (2025)
por: He, Zhiyu, et al.
Publicado: (2025)
Learn to Bid as a Price-Maker Wind Power Producer
por: Singhal, Shobhit, et al.
Publicado: (2025)
por: Singhal, Shobhit, et al.
Publicado: (2025)
Moving horizon partition-based state estimation of large-scale systems -- Revised version
por: Farina, Marcello, et al.
Publicado: (2024)
por: Farina, Marcello, et al.
Publicado: (2024)
Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems
por: Zhu, Pengbo, et al.
Publicado: (2024)
por: Zhu, Pengbo, et al.
Publicado: (2024)
Neural Exponential Stabilization of Control-affine Nonlinear Systems
por: Zakwan, Muhammad, et al.
Publicado: (2024)
por: Zakwan, Muhammad, et al.
Publicado: (2024)
Data-driven Distributionally Robust Control Based on Sinkhorn Ambiguity Sets
por: Cescon, Riccardo, et al.
Publicado: (2025)
por: Cescon, Riccardo, et al.
Publicado: (2025)
Boosting the transient performance of reference tracking controllers with neural networks
por: Kirsch, Nicolas, et al.
Publicado: (2025)
por: Kirsch, Nicolas, et al.
Publicado: (2025)
En Route Path-planning for Partially Occupied Vehicles in Ride-pooling Systems
por: Zhu, Pengbo, et al.
Publicado: (2025)
por: Zhu, Pengbo, et al.
Publicado: (2025)
Sinkhorn Ambiguity Sets for Distributionally Robust Control: Convexity, Weak Compactness, and Tractability
por: Cescon, Riccardo, et al.
Publicado: (2026)
por: Cescon, Riccardo, et al.
Publicado: (2026)
System Identification for Dynamic Modeling of Large Steering Angle Vehicles
por: Petri, Tobias, et al.
Publicado: (2025)
por: Petri, Tobias, et al.
Publicado: (2025)
Stability-Preserving Online Adaptation of Neural Closed-loop Maps
por: Saccani, Danilo, et al.
Publicado: (2026)
por: Saccani, Danilo, et al.
Publicado: (2026)
Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design
por: Galimberti, Clara Lucía, et al.
Publicado: (2024)
por: Galimberti, Clara Lucía, et al.
Publicado: (2024)
A graph-informed regret metric for optimal distributed control
por: Martinelli, Daniele, et al.
Publicado: (2025)
por: Martinelli, Daniele, et al.
Publicado: (2025)
Safe Zeroth-Order Optimization Using Quadratic Local Approximations
por: Guo, Baiwei, et al.
Publicado: (2023)
por: Guo, Baiwei, et al.
Publicado: (2023)
Towards a Systems Theory of Algorithms
por: Dörfler, Florian, et al.
Publicado: (2024)
por: Dörfler, Florian, et al.
Publicado: (2024)
Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators
por: Massai, Leonardo, et al.
Publicado: (2023)
por: Massai, Leonardo, et al.
Publicado: (2023)
Resilient AFE Drive Control using Neural Networks with Tracking Guarantees
por: Kirsch, Nicolas, et al.
Publicado: (2025)
por: Kirsch, Nicolas, et al.
Publicado: (2025)
Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control
por: Martinelli, Daniele, et al.
Publicado: (2023)
por: Martinelli, Daniele, et al.
Publicado: (2023)
Learning stabilising policies for constrained nonlinear systems
por: Ravasio, Daniele, et al.
Publicado: (2025)
por: Ravasio, Daniele, et al.
Publicado: (2025)
Safety-Aware Performance Boosting for Constrained Nonlinear Systems
por: Saccani, Danilo, et al.
Publicado: (2026)
por: Saccani, Danilo, et al.
Publicado: (2026)
Optimistic Online LQR via Intrinsic Rewards
por: Bartos, Marcell, et al.
Publicado: (2026)
por: Bartos, Marcell, et al.
Publicado: (2026)
Generative diffusion posterior sampling for informative likelihoods
por: Zhao, Zheng
Publicado: (2025)
por: Zhao, Zheng
Publicado: (2025)
A Coverage Control-based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
por: Zhu, Pengbo, et al.
Publicado: (2023)
por: Zhu, Pengbo, et al.
Publicado: (2023)
A PAC-Bayesian Framework for Optimal Control with Stability Guarantees
por: Boroujeni, Mahrokh Ghoddousi, et al.
Publicado: (2024)
por: Boroujeni, Mahrokh Ghoddousi, et al.
Publicado: (2024)
Constrained Performance Boosting Control for Nonlinear Systems via ADMM
por: Giacomelli, Gianluca, et al.
Publicado: (2025)
por: Giacomelli, Gianluca, et al.
Publicado: (2025)
PAC-Bayesian Optimal Control with Stability and Generalization Guarantees
por: Boroujeni, Mahrokh Ghoddousi, et al.
Publicado: (2025)
por: Boroujeni, Mahrokh Ghoddousi, et al.
Publicado: (2025)
Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
por: Ghanipoor, Farhad, et al.
Publicado: (2025)
por: Ghanipoor, Farhad, et al.
Publicado: (2025)
Ejemplares similares
-
Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2023) -
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation
por: Brouillon, Jean-Sébastien, et al.
Publicado: (2024) -
Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
por: Zakwan, Muhammad, et al.
Publicado: (2024) -
L2RU: a Structured State Space Model with prescribed L2-bound
por: Massai, Leonardo, et al.
Publicado: (2025) -
Robust Convolution Neural ODEs via Contractivity-promoting regularization
por: Zakwan, Muhammad, et al.
Publicado: (2025)