Adaptive Neural Network-Based Fixed-Time Trajectory Tracking Control of Space Robot with Uncertainties and Input Nonlinearities

Adaptive Neural Network-Based Fixed-Time Trajectory Tracking Control of Space Robot with Uncertainties and Input Nonlinearities

In this paper, a fixed-time control strategy based on neural networks is proposed for a space robot with an input dead zone. First, a model-based control method is proposed based on the fixed-time convergence framework. Due to internal errors and external environmental disturbances, the inertial par...

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Bibliographic Details
Main Authors: Haiping Ai, Lei Jiang, An Zhu, Xiaodong Fu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Aerospace
Subjects:
space robot
fixed-time control
RBF neural network
system uncertainty
input dead zone
Online Access:https://www.mdpi.com/2226-4310/12/7/593
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