Evaluation of Neural Network Effectiveness on Sliding Mode Control of Delta Robot for Trajectory Tracking

The Delta robot is an over-actuated parallel robot with highly nonlinear kinematics and dynamics. Designing the control for a Delta robot to carry out various operations is a challenging task. Various advanced control algorithms, such as adaptive control, sliding mode control, and model predictive c...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers, Jian-Qiao Sun
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	delta robot sliding mode control neural networks
Online Access:	https://www.mdpi.com/1999-4893/17/3/113