Trajectory Tracking Control of an Underactuated AUV Based on Backstepping Sliding Mode With State Prediction
This paper studies the trajectory tracking problem of an underactuated autonomous underwater vehicle (AUV) under the uncertainty of model parameters and input delay. Different from previous algorithms, a novel control algorithm is proposed which is a combination of RBF neural network algorithm and s...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8930028/ |