Fault-Tolerant Control of Skid Steering Vehicles Based on Meta-Reinforcement Learning with Situation Embedding

Fault-Tolerant Control of Skid Steering Vehicles Based on Meta-Reinforcement Learning with Situation Embedding

Meta-reinforcement learning (meta-RL), used in the fault-tolerant control (FTC) problem, learns a meta-trained model from a set of fault situations that have a high-level similarity. However, in the real world, skid-steering vehicles might experience different types of fault situations. The use of a...

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Bibliographic Details
Main Authors: Huatong Dai, Pengzhan Chen, Hui Yang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Actuators
Subjects:
fault-tolerant control
skid-steering vehicle
reinforcement learning (RL)
meta-learning
situation embedding
Online Access:https://www.mdpi.com/2076-0825/11/3/72

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