Cover Image

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Changrui, Shi, Shengling, Alan, Anil, Venayagamoorthy, Ganesh Kumar, De Schutter, Bart
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
by: Gharavi, Leila, et al.
Published: (2024)

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

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

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

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

Predictive control barrier functions for piecewise affine systems with non-smooth constraints
by: He, Kanghui, et al.
Published: (2025)

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

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

Long-Term Energy Management for Microgrid with Hybrid Hydrogen-Battery Energy Storage: A Prediction-Free Coordinated Optimization Framework
by: Qi, Ning, et al.
Published: (2024)

Integration Error Regularization in Direct Optimal Control using Embedded Runge Kutta Methods
by: Harzer, Jakob, et al.
Published: (2025)

Distributed Model Predictive Control for Energy and Comfort Optimization in Large Buildings Using Piecewise Affine Approximation
by: Li, Hongyi, et al.
Published: (2026)

Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees
by: He, Kanghui, et al.
Published: (2023)

Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
by: Shi, Shengling, et al.
Published: (2023)

Adaptive Online Optimization for Microgrids with Renewable Energy Sources
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

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

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

Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging
by: Shi, Shengling, et al.
Published: (2025)

Data-Driven Two-Stage Distributionally Robust Dispatch of Multi-Energy Microgrid
by: Sun, Xunhang, et al.
Published: (2025)

Safe-by-Design: Approximate Nonlinear Model Predictive Control with Real Time Feasibility
by: Olucak, Jan, et al.
Published: (2025)

Energy-Gain Control of Time-Varying Systems: Receding Horizon Approximation
by: Sun, Jintao, et al.
Published: (2025)

Real-Time Single-Iteration Model Predictive Control for Wave Energy Converters
by: Pirrera, Simone, et al.
Published: (2025)

Feasibility-Aware Imitation Learning for Benders Decomposition
by: Agyeman, Bernard T., et al.
Published: (2026)

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

Learning with Linear Function Approximations in Mean-Field Control
by: Bayraktar, Erhan, et al.
Published: (2024)

State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
by: He, Kanghui, et al.
Published: (2023)

Learning-based Rigid Tube Model Predictive Control
by: Gao, Yulong, et al.
Published: (2023)

Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control
by: Srikanthan, Anusha, et al.
Published: (2024)

Continuous Approximations of Projected Dynamical Systems via Control Barrier Functions
by: Delimpaltadakis, Giannis, et al.
Published: (2024)

Extremum Seeking Control for Antenna Pointing via Symmetric Product Approximation
by: Wang, Bo, et al.
Published: (2025)

Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons
by: Bhan, Luke, et al.
Published: (2026)

Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
by: Bose, Shourya, et al.
Published: (2021)

Stochastic Optimal Control via Local Occupation Measures
by: Holtorf, Flemming, et al.
Published: (2022)

Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
by: Kara, Ali Devran, et al.
Published: (2024)

Switching Frequency Limitation with Finite Control Set Model Predictive Control via Slack Variables
by: Hartmann, Luca M., et al.
Published: (2023)

Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations
by: Mathias, Joel, et al.
Published: (2024)

Distributionally Robust Planning of Hydrogen-Electrical Microgrids for Sea Islands
by: Dong, Yuchen, et al.
Published: (2025)