Design of RBF Adaptive Sliding Mode Controller for A Supercavitating Vehicle

Design of RBF Adaptive Sliding Mode Controller for A Supercavitating Vehicle

This paper proposes an adaptive sliding mode control strategy based on RBF (Radial Basis Function) neural network for the supercavitating vehicle system with model uncertainties and external disturbance. Aiming at the unknown items in the model, the control strategy compensates the unknown model unc...

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Bibliographic Details
Main Authors: Wang Jinghua, Liu Yang, Cao Guohua, Zhao Yongyong, Zhang Jiafeng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive sliding mode control
RBF neural network
supercavitating vehicle
supercavity
Online Access:https://ieeexplore.ieee.org/document/9366749/

Internet

https://ieeexplore.ieee.org/document/9366749/

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