2 citations · 3 across the 5 of their papers we have counts for
5 papers
Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
Yihang Zhou, Chao Lin, Hideki Kikumoto +2
Real-time rooftop wind-speed distribution is important for the safe operation of drones and urban air mobility systems, wind control systems, and rooftop utilization. However, roof…
Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
Yihan Zhou, Yiwen Lu, Bo Yang +2
Drifting, characterized by controlled vehicle motion at high sideslip angles, is crucial for safely handling emergency scenarios at the friction limits. While recent reinforcement…
Learning-Based Efficient Approximation of Data-Enabled Predictive Control
Yihan Zhou, Yiwen Lu, Zishuo Li +2
Data-Enabled Predictive Control (DeePC) bypasses the need for system identification by directly leveraging raw data to formulate optimal control policies. However, the size of the…
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
Yiwen Lu, Zishuo Li, Yihan Zhou +2
In this paper, we introduce a new class of parameterized controllers, drawing inspiration from Model Predictive Control (MPC). The controller resembles a Quadratic Programming (QP)…
Consecutive Inertia Drift of Autonomous RC Car via Primitive-based Planning and Data-driven Control
Yiwen Lu, Bo Yang, Jiayun Li +3
Inertia drift is an aggressive transitional driving maneuver, which is challenging due to the high nonlinearity of the system and the stringent requirement on control and planning…