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Bumblebee flight stabilization using discrete control Lyapunov function-based controller in reinforcement learning environment
DOI:10.1016/j.cnsns.2026.109839.png)
Abstract
En 中文
• A discrete Control Lyapunov Function (DCLF) controller with Levenberg-Marquardt updates is developed for bumblebee-like MAVs flight stabilization. • The DCLF controller expands the domain of attraction well beyond the limits of a linear controller. • The hybrid DCLF model stabilizes flight under vertical gusts exceeding 60% of body weight. • A reproducible RL-compatible environment for insect-scale MAVs in unsteady flow is presented.
Keywords:
Discrete Control Lyapunov Function
MAVs flight stabilization
Reinforcement Learning
Unsteady flow
Bumblebee-like robots
Journal
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3.8
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9.1K
Citations:
1.8W

