Adaptive Neural Fault-Tolerant Control for Nonlinear Fractional-Order Systems with Positive Odd Rational Powers

Adaptive Neural Fault-Tolerant Control for Nonlinear Fractional-Order Systems with Positive Odd Rational Powers

In this paper, the problem of adaptive neural fault-tolerant control (FTC) for the fractional-order nonlinear systems (FNSs) with positive odd rational powers (PORPs) is considered. By using the radial basis function neural networks (RBF NNs), the unknown nonlinear functions from the controlled syst...

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Bibliographic Details
Main Authors: Jiawei Ma, Huanqing Wang, Yakun Su, Cungen Liu, Ming Chen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Fractal and Fractional
Subjects:
fractional-order systems
neural network
high-order systems
actuator fault
Online Access:https://www.mdpi.com/2504-3110/6/11/622

Internet

https://www.mdpi.com/2504-3110/6/11/622

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