Methodologies of control strategies for improving energy efficiency in agricultural greenhouses

S Zhang, Y Guo, H Zhao, Y Wang, D Chow… - Journal of Cleaner …, 2020 - Elsevier
The greenhouse sector accounts for the largest portion of total final energy consumption in
agriculture in most countries. One efficient way to minimize the total energy consumption in …

[LIVRE][B] Modeling and control of greenhouse crop growth

F Rodríguez, M Berenguel, JL Guzmán… - 2015 - Springer
Modern agriculture is nowadays subject to regulations in terms of quality and environmental
impact and thus it is a field where the application of automatic control techniques has …

Design of a fast real-time LPV model predictive control system for semi-active suspension control of a full vehicle

MM Morato, MQ Nguyen, O Sename… - Journal of the Franklin …, 2019 - Elsevier
This article is concerned with the control of a Semi-Active suspension system of a 7DOF Full
Vehicle model, equipped with four Electro Rheological (ER) dampers, taking into account …

Advanced chance-constrained predictive control for the efficient energy management of renewable power systems

JD Vergara-Dietrich, MM Morato, PRC Mendes… - Journal of Process …, 2019 - Elsevier
This study presents a complete advanced control structure aimed at the optimal and most
efficient energy management for a Grid-Connected Hybrid Power plant. This control scheme …

[HTML][HTML] A two-degree-of-freedom controller for a high-precision air temperature control system with multiple disturbances

H Dong, X Li, X He, Z Zeng, G Wen - Case Studies in Thermal Engineering, 2023 - Elsevier
The key equipment to prevent precision machinery such as lithography from being
influenced by air temperature fluctuation is a high-precision air temperature control (ATC) …

A hierarchical optimization strategy in the intelligent ecological control of the greenhouse downy mildew

R Liu, JL Guzmán, JD Gil, X Yang, K Liu, M Li - Computers and Electronics …, 2023 - Elsevier
In a low-cost greenhouse, where there are few actuators to regulate the climate, increasing
yield and preventing crop diseases are contradictory processes because pathogens and …

Stochastic model predictive control based on Gaussian processes applied to drinking water networks

Y Wang, C Ocampo‐Martinez… - IET Control Theory & …, 2016 - Wiley Online Library
This study focuses on develo** a stochastic model predictive control (MPC) strategy
based on Gaussian processes (GPs) for propagating system disturbances in a receding …

Optimal operation of a solar membrane distillation pilot plant via nonlinear model predictive control

JD Gil, L Roca, A Ruiz-Aguirre, G Zaragoza… - Computers & Chemical …, 2018 - Elsevier
Abstract Solar Membrane Distillation (SMD) is an under-investigation desalination process
suitable for develo** self-sufficient small scale applications. The use of solar energy …

Construction of greenhouse environment temperature adaptive model based on parameter identification

L Wang, B Wang - Computers and Electronics in Agriculture, 2020 - Elsevier
Rich literature has reported that there exists a nonlinear and time varying association
between natural ventilation and temperature. This paper focus on the model of greenhouse …

Improving feedforward disturbance compensation capabilities in generalized predictive control

A Pawlowski, JL Guzmán, JE Normey-Rico… - Journal of Process …, 2012 - Elsevier
This paper deals with the measurable disturbance rejection problem in Generalized
Predictive Control (GPC). First, it is analyzed how the unconstrained GPC algorithm with …