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...

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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

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