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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Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Jun-hui Cui, Rui-xuan Wei, Zong-cheng Liu, Kai Zhou
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2018-11-01
Serie:Applied Sciences
Ämnen:
unmanned aerial vehicle
path planning
Q-Learning strategy
observational error
Länkar:https://www.mdpi.com/2076-3417/8/11/2169
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