Identification of time-varying fuzzy systems

被引:0
|
作者
Texas A&M Univ, College Station, United States [1 ]
机构
来源
Int J Gen Syst | / 3卷 / 203-218期
关键词
Algorithms - Computer simulation - Difference equations - Frequency response - Fuzzy control - Mathematical models - Parameter estimation - Recursive functions - Time varying systems;
D O I
暂无
中图分类号
学科分类号
摘要
This paper discusses the identification of time-varying fuzzy systems. A square-root type recursive algorithm with variable forgetting factor is presented to estimate the parameters of systems. Numerical examples are provided to illustrate the performance of the identification algorithm. An interesting discovery of this paper is that, for a linear system, a fuzzy model may have a frequency response close to that of a conventional model, say, a difference equation model, although the orders of two models may be different.
引用
收藏
相关论文
共 50 条
  • [21] Fuzzy Control for Continuous Time-Varying Delay Systems
    Zhou, Hongying
    Su, Xiaojie
    Shi, Peng
    Song, Yong-Duan
    2014 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2014), 2014, : 217 - 220
  • [22] On Passivity Analysis of Fuzzy Time-Varying Delayed Systems
    Zhang, Baoyong
    Zheng, Wei Xing
    Xu, Shengyuan
    ASCC: 2009 7TH ASIAN CONTROL CONFERENCE, VOLS 1-3, 2009, : 1034 - 1039
  • [23] Fuzzy filtering of nonlinear fuzzy stochastic systems with time-varying delay
    Wu, Ligang
    Wang, Zidong
    SIGNAL PROCESSING, 2009, 89 (09) : 1739 - 1753
  • [24] Modal parameter identification of time-varying systems using the time-varying multivariate autoregressive model
    Liu, Lilan
    Liu, Hongzhao
    Wu, Ziying
    Yuan, Daning
    Li, Pengfei
    Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol 1, Pts A-C, 2005, : 1817 - 1822
  • [25] MODELING OF SYSTEMS FOR IDENTIFICATION .2. TIME-VARYING SYSTEMS
    ROOT, WL
    SIAM JOURNAL ON CONTROL, 1975, 13 (04): : 945 - 974
  • [26] Admissibility of time-varying observations for time-varying systems
    Idrissi, A
    Rhandi, A
    JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS, 2004, 6 (03) : 229 - 241
  • [27] Time-varying non-linear system identification using dynamical adaptive fuzzy systems
    Cerrada, M.
    Aguilar, J.
    Colina, E.
    Titli, A.
    Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 2002, 25 (03): : 171 - 180
  • [28] Adaptive identification and control of a class of time-varying systems
    Kongzhi yu Juece Control Decis, 6 (658-662):
  • [29] IDENTIFICATION OF LINEAR TIME-VARYING SYSTEMS BY A CANONICAL REPRESENTATION
    Phan, Minh Q.
    Longman, Richard W.
    Juang, Jer-Nan
    ASTRODYNAMICS 2009, VOL 135, PTS 1-3, 2010, 135 : 1401 - +
  • [30] Parsimonious characterisation and identification of time-varying nonlinear systems
    Ralston, JC
    Zoubir, AM
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 877 - 880