Copertina

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	de Giuli, Laura Boca, Mallick, Samuel, La Bella, Alessio, Dabiri, Azita, De Schutter, Bart, Scattolini, Riccardo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Integrated Online Monitoring and Adaption of Process Model Predictive Controllers
di: Mallick, Samuel, et al.
Pubblicazione: (2026)

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
di: Mallick, Samuel, et al.
Pubblicazione: (2024)

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
di: Mallick, Samuel, et al.
Pubblicazione: (2024)

Learning, fast and slow: a two-fold algorithm for data-based model adaptation
di: de Giuli, Laura Boca, et al.
Pubblicazione: (2025)

A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
di: Mallick, Samuel, et al.
Pubblicazione: (2024)

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
di: Mallick, Samuel, et al.
Pubblicazione: (2024)

Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
di: Airaldi, Filippo, et al.
Pubblicazione: (2023)

Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
di: Mallick, Samuel, et al.
Pubblicazione: (2023)

Second-Order MPC-Based Distributed Q-Learning
di: Mallick, Samuel, et al.
Pubblicazione: (2025)

Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
di: Mallick, Samuel, et al.
Pubblicazione: (2026)

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
di: Mallick, Samuel, et al.
Pubblicazione: (2025)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
di: da Silva, Caio Fabio Oliveira, et al.
Pubblicazione: (2024)

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning
di: Önür, Giray, et al.
Pubblicazione: (2025)

Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks
di: de Giuli, Laura Boca, et al.
Pubblicazione: (2026)

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes
di: Airaldi, Filippo, et al.
Pubblicazione: (2022)

Nonmyopic Global Optimisation via Approximate Dynamic Programming
di: Airaldi, Filippo, et al.
Pubblicazione: (2024)

Probabilistically safe and efficient model-based reinforcement learning
di: Airaldi, Filippo, et al.
Pubblicazione: (2025)

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
di: Dabiri, Azita, et al.
Pubblicazione: (2025)

Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios
di: Gharavi, Leila, et al.
Pubblicazione: (2023)

Safe model-based Reinforcement Learning via Model Predictive Control and Control Barrier Functions
di: Dzhumageldyev, Kerim, et al.
Pubblicazione: (2025)

A state reduction approach for learning-based model predictive control for train rescheduling
di: da Silva, Caio Fabio Oliveira, et al.
Pubblicazione: (2025)

Distributed model predictive control without terminal cost under inexact distributed optimization
di: Liu, Xiaoyu, et al.
Pubblicazione: (2025)

Deep Long-Short Term Memory networks: Stability properties and Experimental validation
di: Bonassi, Fabio, et al.
Pubblicazione: (2023)

Learning-based model predictive control for passenger-oriented train rescheduling with flexible train composition
di: Liu, Xiaoyu, et al.
Pubblicazione: (2025)

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
di: Liu, Changrui, et al.
Pubblicazione: (2024)

Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models
di: Xie, Jing, et al.
Pubblicazione: (2024)

Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems
di: Liu, Changrui, et al.
Pubblicazione: (2024)

A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units
di: Xie, Jing, et al.
Pubblicazione: (2024)

Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection
di: Battocletti, Gianpietro, et al.
Pubblicazione: (2025)

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

Uniform Feasibility For Smoothed Backup Control Barrier Functions
di: Alan, Anil, et al.
Pubblicazione: (2025)

Scenario Reduction with Guarantees for Stochastic Optimal Control of Linear Systems
di: Cordiano, Francesco, et al.
Pubblicazione: (2024)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
di: Liu, Changrui, et al.
Pubblicazione: (2025)

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables
di: Shi, Shengling, et al.
Pubblicazione: (2023)

Efficient Computation of a Continuous Topological Model of the Configuration Space of Tethered Mobile Robots
di: Battocletti, Gianpietro, et al.
Pubblicazione: (2025)

Nonlinear Moving-Horizon Estimation Using State- and Control-Dependent Models
di: Kamaldar, Mohammadreza
Pubblicazione: (2026)

Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control
di: Gharavi, Leila, et al.
Pubblicazione: (2023)

From learning to safety: A Direct Data-Driven Framework for Constrained Control
di: He, Kanghui, et al.
Pubblicazione: (2025)

Robustness of the Random Language Model
di: Lalegani, Fatemeh, et al.
Pubblicazione: (2023)

Robust Adaptive Discrete-Time Control Barrier Certificate
di: Liu, Changrui, et al.
Pubblicazione: (2025)