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20232025
most citedReinforcement Learning-based Model Predictive Control for Greenhouse Climate Control

28 citations · 35 across the 7 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

math.OC2024★ 1 cited

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond

Changrui Liu, Shengling Shi, Bart De Schutter

Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalenc…

cs.CV2024★ 4 cited

A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response

R. R. Samani, A. Nunez, B. De Schutter

The growing volume of available infrastructural monitoring data enables the development of powerful datadriven approaches to estimate infrastructure health conditions using direct…

eess.SY2024

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees

Samuel Mallick, Azita Dabiri, Bart De Schutter

Online model predictive control (MPC) for piecewise affine (PWA) systems requires the online solution to an optimization problem that implicitly optimizes over the switching sequen…

eess.SY2024★ 28 cited

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control

Samuel Mallick, Filippo Airaldi, Azita Dabiri +2

Greenhouse climate control is concerned with maximizing performance in terms of crop yield and resource efficiency. One promising approach is model predictive control (MPC), which…

eess.SY2024★ 2 cited

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids

Caio Fabio Oliveira da Silva, Azita Dabiri, Bart De Schutter

This work proposes an approach that integrates reinforcement learning and model predictive control (MPC) to solve finite-horizon optimal control problems in mixed-logical dynamical…