PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
April 10, 2026Control Engineering PracticeOpen Access

A robust data-driven MPC for greenhouse temperature control

View Full Paper
Ask AI
Bookmark
Share

Authors

NMNicola MignoniEZEnrico ZeroPSPaolo Scarabaggio

Discussion

Loading...

Member takes

Overview

Demonstrates robust temperature control in greenhouses, suggesting improved crop productivity under uncertain conditions.

Key Points

  • The aim is to develop a robust method for controlling greenhouse temperatures amid uncertainties in environmental conditions.
  • Developed a spatially distributed model for temperature dynamics using finite difference scheme.
  • Incorporated volumetric heat sources and an inverter-based HVAC system for temperature regulation.
  • Applied scenario-based robust model predictive control to handle uncertainties and ensure optimality.
  • Utilized a forward-backward scheme to solve the implicit form of temperature dynamics.
  • The control method effectively maintained optimal thermal conditions for crops.
  • Out-of-sample tests showed the robustness of the proposed approach under varying environmental conditions.

Cite This Study

Mignoni et al. (2026) studied this question.

synapsesocial.com/papers/69d892d16c1944d70ce0416dhttps://doi.org/10.1016/j.conengprac.2026.106983
View Full Paper
Ask AI
Bookmark
Share