Fuzzy controller design for a class of model reference adaptive systems

被引：1
|
作者：
Han, Hugang [1 ]
机构：
[1] Prefectural Univ Hiroshima, Dept Management Informat Syst, Minami Ku, 1-1-71 Ujina-Higashi, Hiroshima 7348558, Japan
来源：
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2006年 / 27卷 / 2-3期
关键词：
fuzzy control; fuzzy approximator; system stability; Lyapunov synthesis;
D O I：
10.1504/IJCAT.2006.011144
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Amid design of fuzzy control systems, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. Clearly, if an unknown function belongs to the latter, the knowledge available about the function should be utilised as much as possible in the system development. In this paper, our goal is to design a fuzzy controller for a class of model reference adaptive systems with uncertainties, which can correspond to the either case.
引用
收藏
页码：183 / 191
页数：9
相关论文
共 50 条
  • [31] Characteristic model based adaptive controller design and analysis for a class of SISO systems
    Huang, Jianfei
    Kang, Yu
    Meng, Bin
    Zhao, Yunbo
    Ji, Haibo
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2016, 59 (05)
  • [32] Characteristic model based adaptive controller design and analysis for a class of SISO systems
    Jianfei HUANG
    Yu KANG
    Bin MENG
    Yunbo ZHAO
    Haibo JI
    [J]. Science China(Information Sciences), 2016, 59 (05) : 176 - 190
  • [33] Model reference fuzzy adaptive controller for combustion of utility boiler
    Rangaswamy, TR
    Shanmugam, J
    Mohammed, KP
    [J]. SICE 2004 ANNUAL CONFERENCE, VOLS 1-3, 2004, : 687 - 692
  • [34] A servo positioning by using model reference adaptive fuzzy controller
    Kovacic, Z
    Cupec, R
    Bogdan, S
    [J]. SYSTEM STRUCTURE AND CONTROL 2001, VOLS 1 AND 2, 2001, : 627 - 631
  • [35] Fuzzy adaptive controller design methodology for robotics systems
    Touati, Y
    Rebaa, EH
    [J]. FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD, 2005, : 921 - 926
  • [36] Adaptive Fuzzy Controller Design for Biped Robotic Systems
    Yu, Wen-Shyong
    [J]. 2008 IEEE WORKSHOP ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS, 2008, : 212 - 217
  • [37] Model Reference Robust Adaptive H∞ Controller Design
    Zhang, Qiang
    Xu, De-Zhi
    Zhang, Kang-Kang
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (04) : 1507 - 1514
  • [38] A design method of universal model reference adaptive controller
    Miyasato, Y
    [J]. PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1998, : 609 - 613
  • [39] Model reference robust adaptive H∞ controller design
    Qiang Zhang
    De-Zhi Xu
    Kang-Kang Zhan
    [J]. International Journal of Control, Automation and Systems, 2017, 15 : 1507 - 1514
  • [40] Design of a model reference adaptive controller for object tracking
    Cao, Kai
    [J]. FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS, 2008, : 65 - +
12345