Research and Exploration of Volterra Series on Nonlinear System Identification and Modeling

被引:0
|
作者
Chen, Y. [1 ]
机构
[1] Zhengzhou Inst Aeronaut Ind Management, Zhengzhou, Peoples R China
来源
关键词
Volterra series; nonlinear dynamic system; identification and analysis; system modeling; Hilbert reproducing kernel; FILTERS;
D O I
10.4028/www.scientific.net/KEM.439-440.584
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the development of analysis and identification way to nonlinear dynamic system, people uses many different method to build up mathematics model to simulate nonlinear dynamic system. This paper introduces some important nonlinear system identification ways and a kind of Volterra series expression type in detail. This kind of way adopts Hilbert reproducing kernel method to build up nonlinear dynamic system model. Hilbert space provides a kind of effective expression type for Fourier series and transfer based on anyorthogonal polynomial. Volterra series function has very strict theory basic, which can be applied into many nonlinear dynamic system analysis and identification filed, and has broad practicality and application prospect.
引用
收藏
页码:584 / 589
页数:6
相关论文
共 50 条
  • [21] Multistage Volterra filters for nonlinear system modeling
    Xu, Changjiang
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2000, 17 (03): : 449 - 452
  • [22] An optimizationless stochastic volterra series approach for nonlinear model identification
    Luis Gustavo Giacon Villani
    Samuel da Silva
    Americo Cunha
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022, 44
  • [23] An optimizationless stochastic volterra series approach for nonlinear model identification
    Giacon Villani, Luis Gustavo
    da Silva, Samuel
    Cunha Jr, Americo
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2022, 44 (06)
  • [24] Nonlinear identification of MDOF systems using Volterra series approximation
    Prawin, J.
    Rao, A. Rama Mohan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 84 : 58 - 77
  • [25] Modeling memory effects in nonlinear subsystems by dynamic Volterra series
    Ngoya, E
    Soury, A
    BMAS 2003: PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL WORKSHOP ON BEHAVIORAL MODELING AND SIMULATION, 2003, : 28 - 33
  • [26] A modified Volterra series approach for nonlinear dynamic systems modeling
    Mirri, D
    Iuculano, G
    Filicori, F
    Pasini, G
    Vannini, G
    Gualtieri, GP
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2002, 49 (08): : 1118 - 1128
  • [27] Nonlinear Modeling of PMSE Receiver Frontends using Volterra Series
    Barowski, Jan
    Dortmund, Sven
    Sczyslo, Sebastian
    Rolfes, Ilona
    2013 7TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2013, : 3583 - U890
  • [28] MODELING OF THE NONLINEAR RESPONSE OF AN ELECTRODYNAMIC LOUDSPEAKER BY A VOLTERRA SERIES EXPANSION
    KAIZER, AJM
    JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 1987, 35 (06): : 421 - 433
  • [29] THE MODELING OF THE NONLINEAR RESPONSE OF AN ELECTRODYNAMIC LOUDSPEAKER BY A VOLTERRA SERIES EXPANSION
    KAIZER, AJM
    JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 1986, 34 (05): : 388 - 388
  • [30] Nonlinear Modeling and Analysis of Buck Converter using Volterra Series
    Shrimali, Hitesh
    Sharma, Vijender Kumar
    Tripathi, Jai Narayan
    Malik, Rakesh
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2017, : 222 - 226