Parameter identification of continuous - Time hammerstein system from step responses

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Direct identification is studied for the continuous-time Hammerstein system. The step signal is used as the excitation input, its responses and the white noises are superimposed as the system output. First, the regression equation is derived from the multiple integrals of the system inputs and outputs, whose parameters are estimated by least square algorithm and instrument variable (TV) technique. Then, the static coefficient LSE (least-squares estimation) is solved from the regression equation from the amplitudes of the signal, system stable outputs and nonlinear coefficients. The effectiveness of the method is proved through three examples. (Abstract)

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages3005-3010
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Continuous-time hammerstein system
  • Direct identification
  • Instrumental variables
  • Least squares
  • Parameter estimation

Fingerprint

Dive into the research topics of 'Parameter identification of continuous - Time hammerstein system from step responses'. Together they form a unique fingerprint.

Cite this