4 citations · 5 across the 4 of their papers we have counts for
4 papers
Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties
Yicheng Sun, Yueyong Lyu, Yuhan Liu +2
This paper proposes a physics-based adaptive Koopman Model Predictive Control (MPC) strategy for combined spacecraft attitude stabilization under inertia uncertainties and active t…
Learning For Predictive Control: A Dual Gaussian Process Approach
Yuhan Liu, Pengyu Wang, Roland Tóth
An important issue in model-based control design is that an accurate dynamic model of the system is generally nonlinear, complex, and costly to obtain. This limits achievable contr…
Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, Yuhan Liu, Shumon Koga +2
This paper proposes a method for learning continuous control policies for active landmark localization and exploration using an information-theoretic cost. We consider a mobile rob…
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process
Yuhan Liu, Roland Tóth
An important issue in quadcopter control is that an accurate dynamic model of the system is nonlinear, complex, and costly to obtain. This limits achievable control performance in…