Adaptive Neural Network Control of an Uncertain Nuclear Refueling Machine With Input Backlash and Asymmetric Output Constraint

Adaptive Neural Network Control of an Uncertain Nuclear Refueling Machine With Input Backlash and Asymmetric Output Constraint

This paper studies the control problem of an uncertain nuclear refueling machine (RM) system in the presence of uncertainty, external disturbance, input backlash, and asymmetric output constraint. Taking into account the effects of external disturbance and input backlash, the RM system with fuel rod...

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Bibliographic Details
Main Authors: Yun Fu, Zuoxuan Gan, Bin Chen, Yushui Huang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Adaptive control
nuclear refueling machine
neural network control
input backlash
output constraint
Online Access:https://ieeexplore.ieee.org/document/9965200/

Internet

https://ieeexplore.ieee.org/document/9965200/

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