Buchumschlag

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	da Silva, Caio Fabio Oliveira, Dabiri, Azita, De Schutter, Bart
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Systems and Control Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

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

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

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

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

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

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

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

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

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

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

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

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

Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
von: Jafari, Mohammad, et al.
Veröffentlicht: (2019)

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

Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models
von: Maddineni, Vinod Kumar, et al.
Veröffentlicht: (2024)

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

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

Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
von: Mukherjee, Sayak, et al.
Veröffentlicht: (2023)

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

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
von: Reiter, Rudolf, et al.
Veröffentlicht: (2025)

Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
von: Gundawar, Atharva, et al.
Veröffentlicht: (2024)

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

Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
von: Bekal, Gautham Udayakumar, et al.
Veröffentlicht: (2025)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
von: Wang, Xuefeng, et al.
Veröffentlicht: (2024)

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
von: de Giuli, Laura Boca, et al.
Veröffentlicht: (2025)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
von: Zarrouki, Baha, et al.
Veröffentlicht: (2024)

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

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

Constrained Reinforcement Learning for Safe Heat Pump Control
von: Zhang, Baohe, et al.
Veröffentlicht: (2024)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
von: Covone, Stefano, et al.
Veröffentlicht: (2025)

Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
von: Ornia, Daniel Jarne, et al.
Veröffentlicht: (2023)

Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids
von: Abdullah, Mohammed Ezzaldin Babiker
Veröffentlicht: (2026)

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
von: Deng, Yang, et al.
Veröffentlicht: (2025)

Multi-Objective Reinforcement Learning for Power Grid Topology Control
von: Lautenbacher, Thomas, et al.
Veröffentlicht: (2025)

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
von: Lin, Runze, et al.
Veröffentlicht: (2024)

An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
von: Sever, Gulay Goktas, et al.
Veröffentlicht: (2023)

Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications
von: Alami, Hassan El, et al.
Veröffentlicht: (2024)

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

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
von: Sarkar, Soumyendu, et al.
Veröffentlicht: (2024)