TY - GEN
T1 - An experimental result on system identification over networks using delta-sigma transformation
AU - Azuma, Takehito
AU - Kato, Hirohisa
AU - Adachi, Shuichi
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - In this paper, an method to system identification over networks using 1 bit delta-sigma transformation is proposed and the efficacy of the proposed method is verified based on experimental results. Accurate mathematical models are needed to achieve intelligent control with good performances in control engineering. It is easy to obtain those mathematical models if exact input-output data of a controlled object is available by applying system identification techniques. However it is difficult to obtain the exact input-output data over networks because the data is transformed from analog data into digital data. The proposed method provides a method to build mathematical models of controlled objects over networks.
AB - In this paper, an method to system identification over networks using 1 bit delta-sigma transformation is proposed and the efficacy of the proposed method is verified based on experimental results. Accurate mathematical models are needed to achieve intelligent control with good performances in control engineering. It is easy to obtain those mathematical models if exact input-output data of a controlled object is available by applying system identification techniques. However it is difficult to obtain the exact input-output data over networks because the data is transformed from analog data into digital data. The proposed method provides a method to build mathematical models of controlled objects over networks.
KW - ARX models
KW - Component
KW - Computer networks
KW - Delta-sigma transformation
KW - Intelligent control
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=63049094302&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63049094302&partnerID=8YFLogxK
U2 - 10.1109/ICSENST.2008.4757175
DO - 10.1109/ICSENST.2008.4757175
M3 - Conference contribution
AN - SCOPUS:63049094302
SN - 9781424421770
T3 - Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008
SP - 595
EP - 599
BT - Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008
T2 - 3rd International Conference on Sensing Technology, ICST 2008
Y2 - 30 November 2008 through 3 December 2008
ER -