Neural network-based adaptive finite-time tracking control for multiple inputs uncertain nonlinear systems with positive odd integer powers and unknown multiple faults

Neural network-based adaptive finite-time tracking control for multiple inputs uncertain nonlinear systems with positive odd integer powers and unknown multiple faults

This paper addresses the adaptive finite-time tracking control (FTTC) problem for multiple-input nonlinear systems (NSs). The system under consideration encompasses high-order nonlinear terms with positive odd integer powers, uncertain dynamics, parametric nonlinear dynamics, multiple unknown faults...

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Bibliographic Details
Main Authors: Miao Xiao, Zhe Lin, Qian Jiang, Dingcheng Yang, Xiongfeng Deng
Format: Article
Language:English
Published: AIMS Press 2025-03-01
Series:AIMS Mathematics
Subjects:
multiple-input nonlinear systems
finite-time control
unknown multiple faults
odd integer power
neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2025221
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