Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62582
Title: Parameter identification of continuous-time mechanical systems without sensing accelerations
Authors: Wang, Q.-G. 
Bi, Q.
Zou, B.
Keywords: Acceleration
Linear least squares method
Non-linear mechanical system
Numerical integration
Parameter estimation
Issue Date: Jun-1996
Citation: Wang, Q.-G., Bi, Q., Zou, B. (1996-06). Parameter identification of continuous-time mechanical systems without sensing accelerations. Computers in Industry 28 (3) : 207-217. ScholarBank@NUS Repository.
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.
Source Title: Computers in Industry
URI: http://scholarbank.nus.edu.sg/handle/10635/62582
ISSN: 01663615
Appears in Collections:Staff Publications

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