TY - GEN
T1 - Model order selection criterion with application to physical systems
AU - Doraiswami, Rajamani
AU - Cheded, Lahouari
AU - Khalid, Haris M.
PY - 2010
Y1 - 2010
N2 - In this paper, it is shown that poles of the discretetime equivalent of continuous system will lie in the right-half of the complex plane if the sampling rate is chosen to be more than twice the Nyquist rate. This new criterion allows for a quick and reliable separation between the system's poles and any extraneous poles emanating from a variety of artifacts such as high frequency noise and nonlinearities in the system. The system is identified for different model orders and only those for which the poles lie in the right-half plane are chosen. Then using a conventional scheme such as Akaike Information Criterion (AIC), the correct order is chosen from the selected model set. The proposed model order selection criterion has been evaluated on a physical system.
AB - In this paper, it is shown that poles of the discretetime equivalent of continuous system will lie in the right-half of the complex plane if the sampling rate is chosen to be more than twice the Nyquist rate. This new criterion allows for a quick and reliable separation between the system's poles and any extraneous poles emanating from a variety of artifacts such as high frequency noise and nonlinearities in the system. The system is identified for different model orders and only those for which the poles lie in the right-half plane are chosen. Then using a conventional scheme such as Akaike Information Criterion (AIC), the correct order is chosen from the selected model set. The proposed model order selection criterion has been evaluated on a physical system.
KW - Akaike information criterion
KW - Identification
KW - Model-based fault diagnosis
KW - Model-order selection
KW - Modelbased control design
UR - http://www.scopus.com/inward/record.url?scp=78149417246&partnerID=8YFLogxK
U2 - 10.1109/COASE.2010.5583976
DO - 10.1109/COASE.2010.5583976
M3 - Conference contribution
AN - SCOPUS:78149417246
SN - 9781424454471
T3 - 2010 IEEE International Conference on Automation Science and Engineering, CASE 2010
SP - 393
EP - 398
BT - 2010 IEEE International Conference on Automation Science and Engineering, CASE 2010
ER -