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Author Suzuki, H. ♦ Sugie, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword System identification ♦ Quantization ♦ Parameter estimation ♦ Noise measurement ♦ Least squares approximation ♦ Control systems ♦ Linear systems ♦ Instruments ♦ Digital control ♦ USA Councils ♦ discrete-time systems ♦ Linear system identification ♦ uniform quantization
Abstract This paper proposes an identification method for linear systems based on the quantized input-output (I/O) data in the presence of measurement noises. First, the parameter estimation error due to quantization of I/O data is analyzed from the statistical viewpoint when an instrumental variable (IV) method or the least squares (LS) one is adopted. Then, based on the analysis, an IV method suitably adjusted for quantized data is obtained. In addition, a multi-step algorithm is proposed to enhance the estimation performance. The validity of the proposed method is evaluated through a numerical example
Description Author affiliation: Dept. of Syst. Sci., Kyoto Univ. (Suzuki, H.)
ISBN 1424401712
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-12-13
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 195.26 kB
Page Count 6
Starting Page 3684
Ending Page 3689

Source: IEEE Xplore Digital Library