Parameter identification of continuous-time mechanical systems without sensing accelerations

Qing Guo Wang, Qiang Bi, Biao Zou

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The parameter estimation problem for continuous-time linear and nonlinear mechanical system is considered in a unified framework and the ordinary discrete-time linear least squares approach is extended in a natural manner to these systems. To avoid the measurements of accelerations, a direct integral method is presented and shown, by simulation studies of a planar robot dynamics identification, to be almost equivalent to the method requiring the measurements of accelerations.

Original languageEnglish
Pages (from-to)207-217
Number of pages11
JournalComputers in Industry
Issue number3
Publication statusPublished - Jun 1996
Externally publishedYes


  • Acceleration
  • Linear least squares method
  • Non-linear mechanical system
  • Numerical integration
  • Parameter estimation

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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