Adaptive Fuzzy Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems via Sliding-mode design

被引：3
|
作者：
Wen Shenglin [1 ]
Yan Ye [1 ]
机构：
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha, Hunan, Peoples R China
来源：
2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2 | 2014年
关键词：
fuzzy neural network; sliding mode control; adaptive control; uncertain MIMO nonlinear system; IDENTIFICATION;
D O I：
10.1109/IHMSC.2014.124
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an adaptive fuzzy neural network (FNN) control scheme for a class of uncertain multi-input multi-output (MIMO) nonlinear systems. A fuzzy neural network system is used to approximate the conventional sliding mode control (SMC) law. A supervisory compensator is introduced to eliminate the effect of the approximation error. The adaptive adjustment algorithms for fuzzy neural network parameters are derived in the sense of projection algorithm and Lyapunov stability theorem. Finally, the effectiveness of the proposed control scheme is demonstrated through the simulation of an uncertain MIMO nonlinear system.
引用
收藏
页码：87 / 92
页数：6
相关论文
共 50 条
  • [31] ADAPTIVE CONTROL FOR MIMO UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT WAVELET NEURAL NETWORK
    Lin, Chih-Min
    Ting, Ang-Bung
    Hsu, Chun-Fei
    Chung, Chao-Ming
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2012, 22 (01) : 37 - 50
  • [32] Fuzzy Adaptive Control Design and Discretization for a Class of Nonlinear Uncertain Systems
    Zhao, Xudong
    Shi, Peng
    Zheng, Xiaolong
    IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (06) : 1476 - 1483
  • [33] Design of sliding mode controller on wavelet fuzzy neural networks for a class of MIMO nonlinear systems
    Tang Yi-Qian
    Zhao Yue
    Shi Lin
    Proceedings of the 2007 Chinese Control and Decision Conference, 2007, : 16 - +
  • [34] Neural Adaptive H∞ Sliding-Mode Control for Uncertain Nonlinear Systems with Disturbances Using Adaptive Dynamic Programming
    Huang, Yuzhu
    Zhang, Zhaoyan
    ENTROPY, 2023, 25 (12)
  • [35] H∞ tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach
    Wang, WY
    Chan, ML
    Hsu, CCJ
    Lee, TT
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2002, 32 (04): : 483 - 492
  • [36] Fuzzy Sliding Mode with adaptive gain control for nonlinear MIMO systems
    Amieur, Toufik
    Taibi, Djamel
    Bechouat, Mohcene
    Kahla, Sami
    Sedraoui, Moussa
    ROMANIAN JOURNAL OF INFORMATION TECHNOLOGY AND AUTOMATIC CONTROL-REVISTA ROMANA DE INFORMATICA SI AUTOMATICA, 2022, 32 (03): : 95 - 108
  • [37] Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear SISO Systems
    Amieur, T.
    Sedraoui, M.
    Amieur, O.
    Djeddi, A.
    Houam, Y.
    201415TH INTERNATIONAL CONFERENCE ON SCIENCES & TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING (STA'2014), 2014, : 142 - 147
  • [38] Parameters Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear Systems
    Hu, Jianbo
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2008, : 1734 - 1738
  • [39] A new adaptive fuzzy sliding mode control for uncertain nonlinear systems
    Li, Yimin
    Cai, Yang
    ADVANCES IN MATERIALS SCIENCE-BOOK, 2011, 327 : 12 - 16
  • [40] An Adaptive Neural Sliding Mode Control with ESO for Uncertain Nonlinear Systems
    Wang, Jianhui
    Zhu, Peisen
    He, Biaotao
    Deng, Guiyang
    Zhang, Chunliang
    Huang, Xing
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2021, 19 (02) : 687 - 697
12345