Identification and adaptive control of a glass furnace
Automatica (Journal of IFAC)
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
Correspondence item: An instrumental product moment test for model order estimation
Automatica (Journal of IFAC)
Paper: An instrumental variable method for model order identification
Automatica (Journal of IFAC)
Identification of processes in closed loop-identifiability and accuracy aspects
Automatica (Journal of IFAC)
Paper: A theoretical analysis of recursive identification methods
Automatica (Journal of IFAC)
Tests for determining model order in parameter estimation
Automatica (Journal of IFAC)
The determination of the orders of process-and noise dynamics
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
System identification-A survey
Automatica (Journal of IFAC)
On the problem of ambiguities in maximum likelihood identification
Automatica (Journal of IFAC)
Estimation of the order of linear systems
Automatica (Journal of IFAC)
Hi-index | 22.14 |
Statistics currently used to determine the best model order based on the covariance of the parameter estimates or the instrumental product-moment matrix are critically examined, particularly for their applicability to situations where input and output units differ or where there is a large or small steady-state gain. A normalization process is advocated which extends the usefulness and reliability of the statistics in these situations. A procedure for comparing determinant statistics for models of different orders is described, which simplifies current methods. The improved procedures and statistics are compared using simulated data and an instrumental variable estimation method, confirming their worth.