NONLINEAR AUTOREGRESSIVE MODEL-BASED ON FUZZY RELATION

被引：1
|
作者：
IKOMA, N [1 ]
HIROTA, K [1 ]
机构：
[1] HOSEI UNIV, COLL ENGN, TOKYO 184, JAPAN
来源：
INFORMATION SCIENCES | 1993年 / 71卷 / 1-2期
关键词：
Fuzzy relational matrix - Nonlinear autoregressive model - Regressive function;
D O I：
10.1016/0020-0255(93)90068-W
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A nonlinear autoregressive model that has a regressive function approximated by fuzzy relations is proposed. The internal parameters of the fuzzy relational matrix describe the characteristics of this function. The estimation method of these parameters is shown from the viewpoint of maximum likelihood estimation. As a result of the numerical experiment on artificial data compared with the ordinary autoregressive model and the polynomial autoregressive model, it is shown that the proposed model is able to estimate the more precise regressive function from the observed data.
引用
收藏
页码：131 / 144
页数：14
相关论文
共 50 条
  • [41] Autoregressive model-based speech packet-loss concealment
    Zhang, Guoqiang
    Kleijn, W. Bastiaan
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 4797 - 4800
  • [42] Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems
    Melnyk, Igor
    Matthews, Bryan
    Valizadegan, Hamed
    Banerjee, Arindam
    Oza, Nikunj
    JOURNAL OF AEROSPACE INFORMATION SYSTEMS, 2016, 13 (04): : 161 - 173
  • [43] Autoregressive model-based vibration fault diagnosis of rolling bearing
    He Q.
    Du D.
    Wang X.
    Noise and Vibration Worldwide, 2010, 41 (10): : 22 - 28
  • [44] Fuzzy affine model-based output feedback controller design for nonlinear impulsive systems
    Ji, Wenqiang
    Zhang, Heting
    Qiu, Jianbin
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2019, 79
  • [45] Data-driven nonlinear autoregressive with external input model-based compensation for real-time testing
    Xu, Weijie
    Chen, Cheng
    Gao, Xiaoshu
    Chen, Menghui
    Guo, Tong
    Peng, Changle
    STRUCTURAL CONTROL & HEALTH MONITORING, 2022, 29 (12):
  • [46] T-S fuzzy modeling and model-based fuzzy control for nonlinear systems using a RCGA technique
    Lee, Yun-Hyung
    So, Myung-Ok
    Jin, Gang-Gyoo
    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6, 2007, : 1885 - +
  • [47] Nonlinear model-based control of highly nonlinear processes
    Gregorcic, Gregor
    Lightbody, Gordon
    COMPUTERS & CHEMICAL ENGINEERING, 2010, 34 (08) : 1268 - 1281
  • [48] Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model
    A. Veloz
    R. Salas
    H. Allende-Cid
    H. Allende
    C. Moraga
    Neural Processing Letters, 2016, 43 : 641 - 666
  • [49] Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model
    Veloz, A.
    Salas, R.
    Allende-Cid, H.
    Allende, H.
    Moraga, C.
    NEURAL PROCESSING LETTERS, 2016, 43 (03) : 641 - 666
  • [50] Fuzzy Autoregressive Time Series Model Based on Symmetry Triangular Fuzzy Numbers
    Efendi, Riswan
    Imandari, Adhe N.
    Rahmadhani, Yusnita
    Suhartono
    Samsudin, Noor A.
    Arbai, Nureize
    Deris, Mustafa M.
    NEW MATHEMATICS AND NATURAL COMPUTATION, 2021, 17 (02) : 387 - 401
12345