Quan Quan

2 papers indexed

arxivcs.RO2026-06-30

Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning

Stabilization learning is an interdisciplinary paradigm that bridges control theory and machine learning. Its core idea is to enable systems to adjust their policies under perturbations or environmental changes through real-time feedback and adaptive mechanisms. It takes stabilit…

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arxivcs.RO2026-06-30

Energy-Optimal Spatial Iterative Learning within a Virtual Tube

Chen Min, Shuli Lv, Pengda Mao, Huixin Cao, Li Hong, Quan Quan

Due to the limited endurance of embedded energy sources such as lithium-polymer (LiPo) batteries, the flight duration and operational range of unmanned aerial vehicles (UAVs) are severely constrained. Although energy-efficient trajectory planning and control have been widely stud…

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