Nonlinear system identification using Takagi-Sugeno-Kang type interval-valued fuzzy systems via stable learning mechanism

被引：0
|
作者：
Lee, Ching-Hung [1 ]
Lee, Yi-Han [1 ]
机构：
[1] Department of Electrical Engineering, Yuan-Ze University, Chung-li, Taoyuan 320, Taiwan
来源：
IAENG International Journal of Computer Science | 2011年 / 38卷 / 03期
关键词：
33;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：249 / 259
相关论文
共 50 条
  • [1] A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi-Sugeno-Kang System
    Khalifa, Tarek R.
    El-Nagar, Ahmad M.
    El-Brawany, Mohamed A.
    El-Araby, Essam A. G.
    El-Bardini, Mohammad
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (02) : 275 - 285
  • [2] Stability Analysis of Nonlinear Dynamic Systems by Nonlinear Takagi-Sugeno-Kang Fuzzy Systems
    Namadchian, Zahra
    Zare, Assef
    Namadchian, Ali
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2014, 136 (02):
  • [3] Takagi-Sugeno-Kang Type Collaborative Fuzzy Rule Based System
    Chou, K. P.
    Prasad, M.
    Lin, Y. Y.
    Joshi, S.
    Lin, C. T.
    Chang, J. Y.
    2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), 2014, : 315 - 320
  • [4] Robust identification of Takagi-Sugeno-Kang fuzzy models using regularization
    Johansen, TA
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 180 - 186
  • [5] Online identification of evolving Takagi-Sugeno-Kang fuzzy models for crane systems
    Precup, Radu-Emil
    Filip, Horatiu-Ioan
    Radac, Mircea-Bogdan
    Petriu, Emil M.
    Preitl, Stefan
    Dragos, Claudia-Adina
    APPLIED SOFT COMPUTING, 2014, 24 : 1155 - 1163
  • [6] Evolutionary computation based identification of a monotonic Takagi-Sugeno-Kang fuzzy system
    Won, JM
    Seo, K
    Hwang, SK
    Lee, JS
    10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 1140 - 1143
  • [7] Stable adaptive probabilistic Takagi-Sugeno-Kang fuzzy controller for dynamic systems with uncertainties
    Shaheen, Omar
    El-Nagar, Ahmad M.
    El-Bardini, Mohammad
    El-Rabaie, Nabila M.
    ISA TRANSACTIONS, 2020, 98 : 271 - 283
  • [8] Takagi-sugeno-kang fuzzy controller design for nonlinear systems using the scaling gain adaptation
    Tsai P.-S.
    Wu T.-F.
    Hu N.-T.
    Chen J.-Y.
    Wu, Ter-Feng (tfwu@niu.edu.tw), 1600, Computer Society of the Republic of China (28): : 114 - 121
  • [9] Multi-species PSO and fuzzy systems of Takagi-Sugeno-Kang type
    Di Martino, Ferdinando
    Loia, Vincenzo
    Sessa, Salvatore
    INFORMATION SCIENCES, 2014, 267 : 240 - 251
  • [10] A NEW STABLE ON-LINE LEARNING ALGORITHM FOR TAKAGI-SUGENO-KANG TYPE NEURO-FUZZY NETWORKS
    Topalov, Andon Venelinov
    COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2011, 64 (10): : 1489 - 1498
12345