Adaptive neuro-fuzzy backstepping dynamic surface control for uncertain fractional-order nonlinear systems

被引：35

作者：

Song, Shuai ^{[1
]}

Zhang, Baoyong ^{[1
]}

Song, Xiaona ^{[2
]}

Zhang, Zhengqiang ^{[3
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China

[2] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 467023, Peoples R China

[3] Qufu Normal Univ, Sch Elect Engn & Automat, Rizhao 276826, Peoples R China

来源：

NEUROCOMPUTING | 2019年 / 360卷

基金：

中国国家自然科学基金;

关键词：

Backstepping control; Dynamic surface control; Fractional-order nonlinear systems; Neuro-fuzzy network system; SLIDING MODE CONTROL; TRACKING CONTROL; TIME-DELAY;

D O I：

10.1016/j.neucom.2019.06.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a fractional-order back stepping dynamic surface control (DSC) method is developed to cope with the stabilization problem for fractional-order nonlinear systems with uncertainties and external disturbances. In each step, a neuro-fuzzy network system is employed to approximate the unknown nonlinear function existing in fractional-order subsystem. Furthermore, a modified fractional-order filter is designed to avoid the problem of explosion of complexity caused by the recursive procedure. Then based on the fractional-order Lyapunov stability theory, the corresponding adaptive back stepping DSC controller is proposed to guarantee the stability of the fractional-order closed-loop systems. Finally, three examples are given in simulation part to demonstrate the validity of the proposed control method. (C) 2019 Published by Elsevier B.V.

引用

页码：172 / 184

页数：13

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