Adaptive Fuzzy Backstepping Control of Fractional-Order Nonlinear Systems

被引:302
|
作者
Liu, Heng [1 ,2 ]
Pan, Yongping [3 ]
Li, Shenggang [1 ]
Chen, Ye [1 ]
机构
[1] Shaanxi Normal Univ, Coll Math & Informat Sci, Xian 710119, Shaanxi, Peoples R China
[2] Huainan Normal Univ, Dept Appl Math, Huainan 232038, Peoples R China
[3] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore
基金
中国国家自然科学基金;
关键词
Adaptive control; backstepping control; fractional order; fuzzy logic; nonlinear system; DISCRETE-TIME-SYSTEMS; LYAPUNOV FUNCTIONS; TRACKING CONTROL; PROJECTIVE SYNCHRONIZATION; FEEDBACK CONTROLLER; OBSERVER DESIGN; CHAOTIC SYSTEMS; STABILIZATION; MODEL;
D O I
10.1109/TSMC.2016.2640950
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Backstepping control is effective for integer-order nonlinear systems with triangular structures. Nevertheless, it is hard to be applied to fractional-order nonlinear systems as the fractional-order derivative of a compound function is very complicated. In this paper, we develop an adaptive fuzzy backstepping control method for a class of uncertain fractional-order nonlinear systems with unknown external disturbances. In each step, a complicated unknown nonlinear function produced by differentiating a compound function with a fractional order is approximated by a fuzzy logic system, and a virtual control law is designed based on the fractional Lyapunov stability criterion. At the last step, an adaptive fuzzy controller that ensures convergence of the tracking error is constructed. The effectiveness of the proposed method has been verified by two simulation examples.
引用
收藏
页码:2209 / 2217
页数:9
相关论文
共 50 条
  • [31] Fuzzy Adaptive Command-Filter Control of Incommensurate Fractional-Order Nonlinear Systems
    Gong, Dianjun
    Wang, Yong
    ENTROPY, 2023, 25 (06)
  • [32] Adaptive fuzzy decentralised control for fractional-order interconnected nonlinear systems with input saturation
    Zhan, Yongliang
    Sui, Shuai
    Tong, Shaocheng
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2021, 52 (13) : 2689 - 2703
  • [33] Adaptive Backstepping Control for Fractional-Order Nonlinear Systems With External Disturbance and Uncertain Parameters Using Smooth Control
    Li, Xinyao
    Wen, Changyun
    Zou, Ying
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (12): : 7860 - 7869
  • [34] Fractional-order adaptive backstepping control of a class of uncertain systems with external disturbances
    Nikdel, Nazila
    Badannchizadeh, Mohammad Ali
    INTERNATIONAL JOURNAL OF CONTROL, 2019, 92 (06) : 1344 - 1353
  • [35] Adaptive Backstepping Hybrid Fuzzy Sliding Mode Control for Uncertain Fractional-Order Nonlinear Systems Based on Finite-Time Scheme
    Song, Shuai
    Zhang, Baoyong
    Xia, Jianwei
    Zhang, Zhengqiang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (04): : 1559 - 1569
  • [36] Backstepping-Based Adaptive Fuzzy Synchronization Control for a Class of Fractional-Order Chaotic Systems with Input Saturation
    Shumin Ha
    Heng Liu
    Shenggang Li
    Aijing Liu
    International Journal of Fuzzy Systems, 2019, 21 : 1571 - 1584
  • [37] Backstepping-Based Adaptive Fuzzy Synchronization Control for a Class of Fractional-Order Chaotic Systems with Input Saturation
    Ha, Shumin
    Liu, Heng
    Li, Shenggang
    Liu, Aijing
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 21 (05) : 1571 - 1584
  • [38] Command Filtered Adaptive Fuzzy Control of Fractional-Order Nonlinear Systems With Unknown Dead Zones
    Ha, Shumin
    Chen, Liangyun
    Liu, Dong
    Liu, Heng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (06): : 3705 - 3716
  • [39] Adaptive Fuzzy Control for Nonlinear Fractional-Order Uncertain Systems with Unknown Uncertainties and External Disturbance
    Li, Ling
    Sun, Yeguo
    ENTROPY, 2015, 17 (08): : 5580 - 5592
  • [40] Adaptive control of nonlinear fractional-order systems using T-S fuzzy method
    Mirzajani, Saeed
    Aghababa, Mohammad Pourmahmood
    Heydari, Aghileh
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (03) : 527 - 540