17 citations · 18 across the 6 of their papers we have counts for
6 papers
Robust Adaptive MPC in the Presence of Nonlinear Time-Varying Uncertainties: An Uncertainty Compensation Approach
Ran Tao, Pan Zhao, Ilya Kolmanovsky +1
This paper introduces an uncertainty compensation-based robust adaptive model predictive control (MPC) framework for linear systems with nonlinear time-varying uncertainties. The f…
A Simulation Evaluation Suite for Robust Adaptive Quadcopter Control
Dingqi Zhang, Ran Tao, Sheng Cheng +2
Robust adaptive control methods are essential for maintaining quadcopter performance under external disturbances and model uncertainties. However, fragmented evaluations across tas…
Task-Parameter Nexus: Task-Specific Parameter Learning for Model-Based Control
Sheng Cheng, Ran Tao, Yuliang Gu +3
This paper presents the Task-Parameter Nexus (TPN), a learning-based approach for online determination of the (near-)optimal control parameters of model-based controllers (MBCs) fo…
CROPS: A Deployable Crop Management System Over All Possible State Availabilities
Jing Wu, Zhixin Lai, Shengjie Liu +6
Exploring the optimal management strategy for nitrogen and irrigation has a significant impact on crop yield, economic profit, and the environment. To tackle this optimization chal…
The New Agronomists: Language Models are Experts in Crop Management
Jing Wu, Zhixin Lai, Suiyao Chen +3
Crop management plays a crucial role in determining crop yield, economic profitability, and environmental sustainability. Despite the availability of management guidelines, optimiz…
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
Ran Tao, Sheng Cheng, Xiaofeng Wang +2
Model predictive control (MPC) has been applied to many platforms in robotics and autonomous systems for its capability to predict a system's future behavior while incorporating co…