@article{(Open Science Index):https://publications.waset.org/pdf/619,
	  title     = {Short Time Identification of Feed Drive Systems using Nonlinear Least Squares Method},
	  author    = {M.G.A. Nassef and  Linghan Li and  C. Schenck and  B. Kuhfuss},
	  country	= {},
	  institution	= {},
	  abstract     = {Design and modeling of nonlinear systems require the
knowledge of all inside acting parameters and effects. An empirical
alternative is to identify the system-s transfer function from input and
output data as a black box model. This paper presents a procedure
using least squares algorithm for the identification of a feed drive
system coefficients in time domain using a reduced model based on
windowed input and output data. The command and response of the
axis are first measured in the first 4 ms, and then least squares are
applied to predict the transfer function coefficients for this
displacement segment. From the identified coefficients, the next
command response segments are estimated. The obtained results
reveal a considerable potential of least squares method to identify the
system-s time-based coefficients and predict accurately the command
response as compared to measurements.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {5},
	  number    = {11},
	  year      = {2011},
	  pages     = {2281 - 2286},
	  ee        = {https://publications.waset.org/pdf/619},
	  url   	= {https://publications.waset.org/vol/59},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 59, 2011},
	}