About this document
Actuators 14 00014 V2 by Thinh Mai is a document available to read on EtoBox.
This paper introduces a physics-informed neural network (PINN)-based input-shaping method aimed at suppressing vibrations in flexible single-link robots, addressing the challenges posed by their nonlinear dynamics. The method employs a two-phase training process to optimize input-shaping parameters, demonstrating improved computational efficiency and performance compared to traditional techniques. Extensive simulations validate the effectiveness of this approach for complex control tasks in flexible robotic
- Author
- Thinh Mai
- Language
- EN