Model predictive control of agro‐hydrological systems based on a two‐layer neural network modeling framework

Z Huang, J Liu, B Huang - International Journal of Adaptive …, 2023 - Wiley Online Library
Water scarcity is an urgent issue to be resolved and improving irrigation water‐use efficiency
through closed‐loop control is essential. The complex agro‐hydrological system dynamics …

[HTML][HTML] Optimization of the Coupling between Water and Energy Consumption in a Smart Integrated Photovoltaic Pum** Station System

Z Xu, X Chen - Water, 2024 - mdpi.com
Agricultural irrigation requires significant consumption of freshwater resources and energy.
The integration of photovoltaic power generation into irrigation systems has been …

Irrigation optimization in green asparagus (Asparagus officinalis L.) using the AquaCrop model and evolutionary strategy algorithms

F Cruz‐Bautista, IL López‐Cruz… - Irrigation and …, 2024 - Wiley Online Library
Appropriate irrigation water management has attracted considerable attention because it is
crucial to guarantee water and food security worldwide. This study aims to solve a water …

An error-triggered adaptive model reduction and soil moisture estimation for agro-hydrological system

S Debnath, SR Sahoo, BT Agyeman… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
Implementing a closed-loop irrigation system requires an accurate estimation of soil
moisture given a limited number of sensors. However, the main challenge lies in the …

[КНИГА][B] Sustainable Water-Food Nexus: Circular Economy, Water Management, Sustainable Agriculture

RC Brears - 2025 - books.google.com
As we navigate an era defined by a pressing need for sustainable resource management,
Circular Economy: Navigating the Water-Food Nexus for Sustainable Futures serves as a …

Model reduction for soil moisture and hydraulic parameter estimation using sequential triggers

S Debnath, SR Sahoo, BT Agyeman, X Yin, J Liu - IFAC-PapersOnLine, 2024 - Elsevier
In this study, we introduce a triggered model reduction method for soil moisture and
hydraulic parameter estimation. The approach employs cluster-based unsupervised …

Model Reduction and State Estimation for Nonlinear Complex Systems

S Debnath - 2024 - era.library.ualberta.ca
Modern industries are increasingly embracing complex, large-scale processes with
interconnected units for their economic benefits. The increasing scale of industrial processes …

Economic Model Predictive Control: Model Approximation and Robustness Analysis

Z Huang - 2024 - era.library.ualberta.ca
Advanced process control has been considered as a promising tool for addressing various
control objectives for complex industrial applications, including ensuring safe operation …