On tuning nonlinear fuzzy control systems

被引：0
|
作者：
Pinheiro, C [1 ]
Gomide, F [1 ]
机构：
[1] Fed Engn Sch Itajuba, IEE, DON, BR-37500000 Itajuba, MG, Brazil
来源：
NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2 | 2000年
关键词：
D O I：
暂无
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 we show how frequency domain design procedures can be effectively used in nonlinear fuzzy control systems. For this purpose, theoretical justifications of the approach discussed here are provided to show that solid notions from nonlinear system and control theory can be successfully applied in the fuzzy control domain. The methodology proposed here is very simple, but powerful, effective and practical. In addition, it supports systematic control system design and stability analysis in the frequency domain for systems described by mathematical, Linguistic or experimental models. Several case studies are included to illustrate the usefulness of frequency response in conventional fuzzy control systems analysis and design.
引用
收藏
页码：146 / 151
页数：6
相关论文
共 50 条
  • [1] Fuzzy control of nonlinear systems with on-line parameters tuning for fuzzy approximators
    Han, HG
    Su, CY
    [J]. PROCEEDINGS OF THE FIFTH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1 AND 2, 2000, : 942 - 945
  • [2] Capturing and Tuning Nonlinear Characteristics of Economic Stabilization Systems by Fuzzy Control Techniques
    Georgescu V.
    [J]. Computational Economics, 2002, 19 (3) : 247 - 271
  • [3] Self Tuning Fuzzy Controller of Nonlinear Systems
    Sahraoui, Mustapha
    Salem, Mohammed
    Khelfi, Med Faycal
    [J]. 2012 6TH INTERNATIONAL CONFERENCE ON SCIENCES OF ELECTRONICS, TECHNOLOGIES OF INFORMATION AND TELECOMMUNICATIONS (SETIT), 2012, : 912 - 915
  • [4] Design of self tuning fuzzy controllers for nonlinear systems
    Jain, Rajni
    Sivakumaran, N.
    Radhakrishnan, T. K.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) : 4466 - 4476
  • [5] A self-tuning fuzzy inference sliding mode control scheme for a class of nonlinear systems
    Chaouch, Djamel Eddine
    Ahmed-Foitih, Zoubir
    Khelfi, Med Faycal
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2012, 18 (10) : 1494 - 1505
  • [6] On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
    Leu, YG
    Lee, TT
    Wang, WY
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1997, 27 (06): : 1034 - 1043
  • [7] A self-tuning fuzzy inference sliding mode control scheme for a class of nonlinear systems
    Laboratory of Sciences and Technology of Water , University of Mascara, BP 276, Mascara, Algeria
    不详
    不详
    [J]. JVC/J Vib Control, 1600, 10 (1494-1505):
  • [8] Self-tuning based fuzzy PID controllers: Application to control of nonlinear HVAC systems
    Moshiri, B
    Rashidi, F
    [J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS, 2004, 3177 : 437 - 442
  • [9] Fuzzy control design for nonlinear systems
    Chen, Song-Shyong
    Wu, Jenq-Lang
    Chang, Yuan-Chang
    Su, Shun-Feng
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 1320 - 1325
  • [10] Nonlinear optimal control of fuzzy systems
    Park, Y
    Bang, H
    Tahk, MJ
    [J]. CCA 2003: PROCEEDINGS OF 2003 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2003, : 234 - 239
12345