Research on multi-signal based neuro-fuzzy Hammerstein-Wiener model

被引:0
|
作者
Jia, Li [1 ]
Yang, Ai-Hua [1 ]
Chiu, Min-Sen [2 ]
机构
[1] Department of Automation, College of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
[2] Faculty of Engineering, National University of Singapore, Singapore 119260, Singapore
来源
关键词
18;
D O I
10.3724/SP.J.1004.2013.00690
中图分类号
学科分类号
摘要
引用
收藏
页码:690 / 696
相关论文
共 50 条
  • [41] An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction
    Xie, Chen
    Rajan, Deepu
    Chai, Quek
    INFORMATION SCIENCES, 2021, 577 : 324 - 335
  • [42] Model-based Acceleration Control of Turbofan Engines with a Hammerstein-Wiener Representation
    Wang, Jiqiang
    Ye, Zhifeng
    Hu, Zhongzhi
    Wu, Xin
    Dimirovsky, Georgi
    Yue, Hong
    INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES, 2017, 34 (02) : 141 - 148
  • [43] Research on Modeling Method Based on Multi-Signal Flow Model
    Wang, Zhi-qiang
    Yan, Xu
    Wang, Chun-ping
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 983 - +
  • [44] The Savitzky-Golay Filter Based Hammerstein-Wiener Model for SOC Estimation
    Yang, Youwei
    Wang, Dongqing
    2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022), 2022,
  • [45] Identification of CSTR Using Extreme Learning Machine Based Hammerstein-Wiener Model
    Han, Zhenzhen
    Cheng, Bin
    Wang, Cheng
    Yang, Wenhuan
    CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2017, : 733 - 736
  • [46] Model Predictive Control Based on Kalman Filter for Constrained Hammerstein-Wiener Systems
    Hong, Man
    Cheng, Shao
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [47] Modeling and parameter learning method for the Hammerstein-Wiener model with disturbance
    Li, Feng
    Chen, Lianyu
    Wo, Songlin
    Li, Shengquan
    Cao, Qingfeng
    MEASUREMENT & CONTROL, 2020, 53 (5-6): : 971 - 982
  • [48] Recursive identification for multi-input-multi-output Hammerstein-Wiener system
    Bai, Jing
    Mao, Zhizhong
    Pu, Tiecheng
    INTERNATIONAL JOURNAL OF CONTROL, 2019, 92 (06) : 1457 - 1469
  • [49] An intelligent electromyogram signal characterization method based on neuro-fuzzy model
    Azadbakht, Bakhtiar
    Zolata, Hamidreza
    Khayat, Omid
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 27 (05) : 2623 - 2634
  • [50] Estimation of an N-L-N Hammerstein-Wiener model
    Zhu, YC
    AUTOMATICA, 2002, 38 (09) : 1607 - 1614