2 citations · 5 across the 7 of their papers we have counts for
7 papers
Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this article, we propose a data-enabled economic predictive control method for a class of nonlinear systems, which aims to optimize the economic operational performance while ha…
Economic data-enabled predictive control using machine learning
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this paper, we propose a convex data-based economic predictive control method within the framework of data-enabled predictive control (DeePC). Specifically, we use a neural netw…
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond
Jiajia Li, Xinda Qi, Seyed Hamidreza Nabaei +5
Plant phenotyping plays a pivotal role in understanding plant traits and their interactions with the environment, making it crucial for advancing precision agriculture and crop imp…
Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning
Xuewen Zhang, Kaixiang Zhang, Zhaojian Li +1
Data-enabled predictive control (DeePC) is a data-driven control algorithm that utilizes data matrices to form a non-parametric representation of the underlying system, predicting…
Online Reduced-Order Data-Enabled Predictive Control
Amin Vahidi-Moghaddam, Kaixiang Zhang, Xunyuan Yin +2
Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit system models. T…
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Jiajia Li, Kyle Lammers, Xunyuan Yin +4
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-ba…
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection
Jiajia Li, Dong Chen, Xunyuan Yin +1
Effective weed control plays a crucial role in optimizing crop yield and enhancing agricultural product quality. However, the reliance on herbicide application not only poses a cri…