Parameter identification of continuous-time mechanical systems without sensing accelerations

Qing Guo Wang; Qiang Bi; Biao Zou

doi:10.1016/0166-3615(95)00075-5

Parameter identification of continuous-time mechanical systems without sensing accelerations

Qing Guo Wang, Qiang Bi, Biao Zou

National University of Singapore

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	207-217
Number of pages	11
Journal	Computers in Industry
Volume	28
Issue number	3
DOIs	https://doi.org/10.1016/0166-3615(95)00075-5
Publication status	Published - Jun 1996
Externally published	Yes

Keywords

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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10.1016/0166-3615(95)00075-5

Cite this

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title = "Parameter identification of continuous-time mechanical systems without sensing accelerations",

abstract = "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.",

keywords = "Acceleration, Linear least squares method, Non-linear mechanical system, Numerical integration, Parameter estimation",

author = "Wang, {Qing Guo} and Qiang Bi and Biao Zou",

year = "1996",

month = jun,

doi = "10.1016/0166-3615(95)00075-5",

language = "English",

volume = "28",

pages = "207--217",

journal = "Computers in Industry",

issn = "0166-3615",

publisher = "Elsevier B.V.",

number = "3",

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TY - JOUR

T1 - Parameter identification of continuous-time mechanical systems without sensing accelerations

AU - Wang, Qing Guo

AU - Bi, Qiang

AU - Zou, Biao

PY - 1996/6

Y1 - 1996/6

N2 - 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.

AB - 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.

KW - Acceleration

KW - Linear least squares method

KW - Non-linear mechanical system

KW - Numerical integration

KW - Parameter estimation

UR - http://www.scopus.com/inward/record.url?scp=0030173248&partnerID=8YFLogxK

U2 - 10.1016/0166-3615(95)00075-5

DO - 10.1016/0166-3615(95)00075-5

M3 - Article

AN - SCOPUS:0030173248

SN - 0166-3615

VL - 28

SP - 207

EP - 217

JO - Computers in Industry

JF - Computers in Industry

IS - 3

ER -

Parameter identification of continuous-time mechanical systems without sensing accelerations

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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