Finite-Time Adaptive Neural Control Scheme for Uncertain High-Order Systems with Input Nonlinearities and Unmodeled Dynamics

Finite-Time Adaptive Neural Control Scheme for Uncertain High-Order Systems with Input Nonlinearities and Unmodeled Dynamics

This paper proposes a novel finite-time adaptive neural control method for a class of high-order nonlinear systems with high powers in the presence of dead zone input nonlinearities and unmodeled dynamics. By utilizing prescribed performance functions and radial basis function neural networks, the t...

Full description

Bibliographic Details
Main Authors: Hantong Mei, Hanqiao Huang, Yunhe Guo, Guan Huang, Feihong Xu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
finite-time tracking
prescribed performance
input nonlinearities
unmodeled dynamics
neural networks
Online Access:https://www.mdpi.com/2079-9292/11/18/2835

Internet

https://www.mdpi.com/2079-9292/11/18/2835

Similar Items