3 papers
eess.SY2026
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…
cs.RO2025
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…
cs.RO2025
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…