10 citations · 15 across the 5 of their papers we have counts for
5 papers
Model-Free Reinforcement Learning Control for Resilient Cyber-Physical Systems
Hugo O. Garcés, Alejandro J. Rojas, Bernardo A. Hernández +5
This paper compares the performance of model-free controllers on a nonlinear system under cyberattacks, including false data injection and denial-of-service attacks. Four RL reward…
Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling
Bernard T. Agyeman, Mohamed Naouri, Willemijn Appels +2
The agricultural sector currently faces significant challenges in water resource conservation and crop yield optimization, primarily due to concerns over freshwater scarcity. Tradi…
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Bernard T. Agyeman, Erfan Orouskhani, Mohamed Naouri +4
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameter…
LSTM-based model predictive control with discrete inputs for irrigation scheduling
Bernard T. Agyeman, Soumya R. Sahoo, Jinfeng Liu +1
The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. In this article, a model predictive contro…
Soil moisture map construction using microwave remote sensors and sequential data assimilation
Bernard T. Agyeman, Song Bo, Soumya R. Sahoo +3
Microwave remote sensors mounted on center pivot irrigation systems provide a feasible approach to obtain soil moisture information, in the form of water content maps, for the impl…