Adaptive Neural Command Filtered Tracking Control for Flexible Robotic Manipulator With Input Dead-Zone

Adaptive Neural Command Filtered Tracking Control for Flexible Robotic Manipulator With Input Dead-Zone

In this paper, an adaptive neural network (NN) command filtered tracking control method is developed for a flexible robotic manipulator with dead-zone input. To deal with the input dead-zone nonlinearity, it is viewed as a combination of a linear part and bounded disturbance-like term. The Neural ne...

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Detalles Bibliográficos
Autores principales: Huanqing Wang, Shijia Kang
Formato: Artículo
Lenguaje:English
Publicado: IEEE 2019-01-01
Colección:IEEE Access
Materias:
Adaptive neural network control
robotic manipulator
dead-zone
command-filter technique
backstepping
Acceso en línea:https://ieeexplore.ieee.org/document/8648172/

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