Research On Frequency-Domain Kernel Identification Of Volterra Series

DOI

10.2991/jimec-17.2017.112How to use a DOI?

Keywords

Volterra series; non-linear; frequency-domain kernel; identification method

Abstract

In this paper, the identification method of Volterra series frequency-domain kernel is introduced from two aspects: parameter identification and non-parameter identification, then gives prospect. Volterra series theory has been applied and developed in recent years, becomes one of the most effective tools for nonlinear system analysis and modeling. The kernel of Volterra series can reflect the fault characteristics well. Therefore the problem of kernel identification has been the focus of research. Among them, the frequency-domain kernel identification is concerned because of many advantages, such as strong robustness, no need to determine the memory length and so on.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shihao Wu
AU  - Yafeng Meng
AU  - Bo Wang
PY  - 2017/10
DA  - 2017/10
TI  - Research On Frequency-Domain Kernel Identification Of Volterra Series
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 517
EP  - 521
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.112
DO  - 10.2991/jimec-17.2017.112
ID  - Wu2017/10
ER  -