11 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
Safe Reinforcement Learning Beyond Baseline Control: A Hierarchical Framework for Space Triangle Tethered Formation System
Xinyi Tao, Panfeng Huang, Fan Zhang
Triangular tethered formation system (TTFS) provide a promising platform for deep space exploration and distributed sensing due to its intrinsic spatial-orientation stability and c…
Differentiable Physics-Informed Adaptive Koopman Control for Stable Flight under Unknown Disturbances
Ao Jin, Qiujin Liang, Tao Zhang +2
Uncertainties and disturbances in robotic systems, such as aerodynamic forces, are fundamentally outcomes of physical interactions with the environment, manifesting as learnable sp…
Enhanced Robust Tracking Control: An Online Learning Approach
Ao Jin, Weijian Zhao, Yifeng Ma +2
This work focuses the tracking control problem for nonlinear systems subjected to unknown external disturbances. Inspired by contraction theory, a neural network-dirven CCM synthes…
Data-Driven Optimal Control of Tethered Space Robot Deployment with Learning Based Koopman Operator
Ao Jin, Fan Zhang, Panfeng Huang
To avoid complex constraints of the traditional nonlinear method for tethered space robot (TSR) deployment, this paper proposes a data-driven optimal control framework with an impr…