Prescribed Fixed-Time Adaptive Neural Control for Manipulators with Uncertain Dynamics and Actuator Failures

Prescribed Fixed-Time Adaptive Neural Control for Manipulators with Uncertain Dynamics and Actuator Failures

In this paper, a fixed-time adaptive neural control scheme is proposed to solve the prescribed tracking problem of robot manipulators in the presence of uncertain dynamics, and stuck-type actuator failures which are unknown in time, pattern, and values. Technically, the combination of neural network...

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Bibliographic Details
Main Authors: Guanyu Lai, Sheng Zhou, Weijun Yang, Xiaodong Wang, Fang Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Mathematics
Subjects:
robust adaptive control
neural networks
robot manipulators
uncertain dynamics
actuator failures
Online Access:https://www.mdpi.com/2227-7390/11/13/2925

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