UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy

UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy

A solution framework for UAV motion strategies in uncertain dynamic environments is constructed in this paper. Considering that the motion states of UAV might be influenced by some dynamic uncertainties, such as control strategies, flight environments, and any other bursting-out threats, we model th...

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Bibliographic Details
Main Authors: Jun-hui Cui, Rui-xuan Wei, Zong-cheng Liu, Kai Zhou
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Applied Sciences
Subjects:
unmanned aerial vehicle
path planning
Q-Learning strategy
observational error
Online Access:https://www.mdpi.com/2076-3417/8/11/2169

Internet

https://www.mdpi.com/2076-3417/8/11/2169

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