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https://doi.org/10.1016/0166-3615(95)00075-5
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. https://doi.org/10.1016/0166-3615(95)00075-5 | 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/10635/80936 | ISSN: | 01663615 | DOI: | 10.1016/0166-3615(95)00075-5 |
Appears in Collections: | Staff Publications |
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