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
  • [41] Robust adaptive neural control for a class of uncertain MIMO nonlinear systems
    Wang, Chenliang
    Lin, Yan
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (11) : 1934 - 1943
  • [42] An Adaptive Neural Sliding Mode Control with ESO for Uncertain Nonlinear Systems
    Jianhui Wang
    Peisen Zhu
    Biaotao He
    Guiyang Deng
    Chunliang Zhang
    Xing Huang
    International Journal of Control, Automation and Systems, 2021, 19 : 687 - 697
  • [43] Intelligent nonsingular terminal sliding-mode control via perturbed fuzzy neural network
    Hsu, Chun-Fei
    Lee, Tsu-Tian
    Tanaka, Kazuo
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2015, 45 : 339 - 349
  • [44] Adaptive fuzzy sliding-mode control for induction servomotor systems
    Lin, CM
    Hsu, CF
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (02) : 362 - 368
  • [45] Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems
    Hung, Lon-Chen
    Chung, Hung-Yuan
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2007, 46 (01) : 74 - 97
  • [46] Design of an adaptive neural sliding-mode controller for seesaw systems
    Chung, Hung-Yuan
    Hung, Lon-Chen
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2007, 28 (04) : 254 - 264
  • [47] Adaptive Fuzzy Anti-saturation Sliding Mode Control for MIMO Uncertain Chaotic Systems
    Yang, Wenguang
    Wu, Yuhhe
    Liu, Haisheng
    Wang, Jianmin
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 959 - 963
  • [48] A Hybrid Fuzzy Sliding-Mode Control for a Class of Generalized, Under-Actuated and Uncertain Nonlinear Dynamic Systems
    Hwang, Chih-Lyang
    Wu, Hsiu-Ming
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 1333 - 1338
  • [49] Design of adaptive fuzzy sliding mode control for nonlinear systems
    Chen, JY
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 1999, 7 (05) : 463 - 474
  • [50] ADAPTIVE DECENTRALIZED SLIDING MODE NEURAL NETWORK CONTROL OF A CLASS OF NONLINEAR INTERCONNECTED SYSTEMS
    Sefriti, Selma
    Boumhidi, Jaouad
    Benyakhlef, Majid
    Boumhidi, Ismail
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (07): : 2941 - 2947
12345