Lyapunov Function-guided Reinforcement Learning for Flight Control

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Li, Yifei, van Kampen, Erik-Jan
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911234163474432
author Li, Yifei
van Kampen, Erik-Jan
author_facet Li, Yifei
van Kampen, Erik-Jan
contents A cascaded online learning flight control system has been developed and enhanced with respect to action smoothness. In this paper, we investigate the convergence performance of the control system, characterized by the increment of a Lyapunov function candidate. The derivation of this metric accounts for discretization errors and state prediction errors introduced by the incremental model. Comparative results are presented through flight control simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2510_22840
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Lyapunov Function-guided Reinforcement Learning for Flight Control
Li, Yifei
van Kampen, Erik-Jan
Artificial Intelligence
A cascaded online learning flight control system has been developed and enhanced with respect to action smoothness. In this paper, we investigate the convergence performance of the control system, characterized by the increment of a Lyapunov function candidate. The derivation of this metric accounts for discretization errors and state prediction errors introduced by the incremental model. Comparative results are presented through flight control simulations.
title Lyapunov Function-guided Reinforcement Learning for Flight Control
topic Artificial Intelligence
url https://arxiv.org/abs/2510.22840