Adaptive Neural Network Sliding Mode Control for Nonlinear Singular Fractional Order Systems with Mismatched Uncertainties

Adaptive Neural Network Sliding Mode Control for Nonlinear Singular Fractional Order Systems with Mismatched Uncertainties

This paper focuses on the sliding mode control (SMC) problem for a class of uncertain singular fractional order systems (SFOSs). The uncertainties occur in both state and derivative matrices. A radial basis function (RBF) neural network strategy was utilized to estimate the nonlinear terms of SFOSs....

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Bibliographic Details
Main Authors: Xuefeng Zhang, Wenkai Huang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Fractal and Fractional
Subjects:
singular fractional order systems
linear matrix inequality
adaptive RBF neural network
sliding mode control
Online Access:https://www.mdpi.com/2504-3110/4/4/50

Internet

https://www.mdpi.com/2504-3110/4/4/50

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