TY - GEN
T1 - Asymptotic system identification method based on particle swarm optimization
AU - Muroi, Hideo
AU - Adachi, Shuichi
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In general, structure of a system to be identified is unknown for users a priori. This makes the model complex and high order structure. In this paper, we introduce the asymptotic method (ASYM) to deal with the problem. ASYM calculates a high-order model using the well-known least squares method, then reduces the identified model to a simple one. For this model reduction, various model reduction techniques such as balanced realization and output error reduction were developed. In this paper, a new method to reduce the high-order model using the particle swarm optimization in the frequency domain is proposed. Effectiveness of the proposed method is examined through numerical examples.
AB - In general, structure of a system to be identified is unknown for users a priori. This makes the model complex and high order structure. In this paper, we introduce the asymptotic method (ASYM) to deal with the problem. ASYM calculates a high-order model using the well-known least squares method, then reduces the identified model to a simple one. For this model reduction, various model reduction techniques such as balanced realization and output error reduction were developed. In this paper, a new method to reduce the high-order model using the particle swarm optimization in the frequency domain is proposed. Effectiveness of the proposed method is examined through numerical examples.
KW - Asymptotic method
KW - Curve fitting
KW - High-order estimation
KW - Model reduction
KW - Particle swarm optimization
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=77951142581&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951142581&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77951142581
SN - 9784907764333
T3 - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
SP - 4499
EP - 4502
BT - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
T2 - ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Y2 - 18 August 2009 through 21 August 2009
ER -