6 papers
Modeling and Optimal Control of Thermal Environment in Pig Houses
Mingxin Wei, Jinrui Zhang, Peter Groot Koerkamp +2
The management of thermal environments in pig farming is crucial for optimizing animal health, productivity, and operational energy efficiency. This study introduces a novel therma…
Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control
Maxiu Xiao, Jianglin Lan, Jingxin Yu +3
Climate control is crucial for greenhouse production as it directly affects crop growth and resource use. Reinforcement learning (RL) has received increasing attention in this fiel…
A Teacher-Student MPC-PPO Coupled Reinforcement Learning Framework for Winter Temperature Control of Solar Greenhouses in Northern China
Jingxin Yu, Lushun Ma, Jinpeng Zhao +7
Solar greenhouses are crucial infrastructure of modern agricultural production in northern China. However, highly fluctuating temperature in winter season results in poor greenhous…
Safe Stabilization using Nonsmooth Control Lyapunov Barrier Function
Jianglin Lan, Eldert van Henten, Peter Groot Koerkamp +1
This paper addresses the challenge of safe stabilization, ensuring the system state reach the origin while avoiding unsafe regions. Existing approaches relying on smooth Lyapunov b…
Data-driven sliding mode control for partially unknown nonlinear systems
Jianglin Lan, Xianxian Zhao, Congcong Sun
This paper presents a new data-driven control for multi-input, multi-output nonlinear systems with partially unknown dynamics and bounded disturbances. Since exact nonlinearity can…
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…