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Bumblebee flight stabilization using discrete control Lyapunov function-based controller in reinforcement learning environment

delete2026-02-17
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PRE
AI
P
Pavel Konoplev
A
Artem Mikhaylov
N
Nikolay Efanov
D
Dmitry Kolomenskiy
A
Alexey A. Polilov
E
Evgeny Burnaev
DOI:10.1016/j.cnsns.2026.109839delete
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Abstract

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

Communications in Nonlinear Science and Numerical Simulation cover
Communications in Nonlinear Science and Numerical Simulation
IF:
3.8
Papers:
9.1K
Citations:
1.8W

Organization

L
lomonosov moscow state university
Scholars:
2.1W
Papers: 1.5W
Citations: 19
S
skolkovo institute of science and technology
Scholars:
272
Papers: 107
Citations: 0