Adaptive neural network‐based fault‐tolerant trajectory‐tracking control of unmanned surface vessels with input saturation and error constraints
The unmanned surface vessel (USV) plays an important role in smart ocean. This study proposes an adaptive fault‐tolerant tracking control for USVs in the presence of input saturations and error constraints. A tan‐type barrier Lyapunov function is utilised for the error constraints and the neural net...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-05-01
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Series: | IET Intelligent Transport Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-its.2019.0221 |