Comparison of different methods for identification of industrial processes
Automatica (Journal of IFAC)
Estimation of the order of linear systems
Automatica (Journal of IFAC)
Brief paper: Test of pole-zero cancellation in estimated models
Automatica (Journal of IFAC)
Technical communique: On a method for model structure selection in system identification
Automatica (Journal of IFAC)
Special section system identification tutorial: Practical aspects of process identification
Automatica (Journal of IFAC)
Survey of applications of identification in chemical and physical processes
Automatica (Journal of IFAC)
Paper: Maximum-power validation of models without higher-order fitting
Automatica (Journal of IFAC)
Paper: Selecting the best linear transfer function model
Automatica (Journal of IFAC)
Brief papers: Structural identification and software package for linear multivariable systems
Automatica (Journal of IFAC)
Hi-index | 22.16 |
The accuracy of the models estimated with the direct least-squares- and maximum-likelihood-methods is investigated critically. In order to determine also the most accurate order of the model, seven structure testing methods are thoroughly investigated. Using the determinant ratio test first, the possible model orders can essentially be limited. The investigated control system was simulated on an analogue computer under diverse working conditions. With the results obtained, rules for the application of these structure testing methods are formulated. Because of the large number of cases investigated, the probability of the general validity of these rules is high.