Finite-Time Prescribed Performance Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles Based on a Tan-Type Barrier Lyapunov Function

Finite-Time Prescribed Performance Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles Based on a Tan-Type Barrier Lyapunov Function

This paper proposed a finite-time prescribed performance control scheme for underactuated autonomous underwater vehicles (AUVs) based on adaptive neural networks and a tan-type barrier Lyapunov function. Even in the presence of output constraints and environmental disturbances, the AUV can also prec...

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Bibliographic Details
Main Authors: Haitao Liu, Bingxin Meng, Xuehong Tian
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Finite-time stability
trajectory tracking
tan-type barrier Lyapunov function
minimal learning parameter
underactuated autonomous underwater vehicles
Online Access:https://ieeexplore.ieee.org/document/9775958/

Internet

https://ieeexplore.ieee.org/document/9775958/

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