Predictor input selection for direct identification in dynamic networks

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In the literature methods have been proposed which enable consistent estimates of modules embedded in complex dynamic networks. In this paper the network extension of the so called closed-loop Direct Method is investigated. Currently, for this method the variables which must be included in the predictor model are not considered as a user choice. In this paper it is shown that there is some freedom as to which variables to include in the predictor model as inputs, and still obtain consistent estimates of the module of interest. Conditions on this choice of predictor inputs are presented.
Originele taal-2Engels
TitelProceedings of the 52nd IEEE Conference on Decision and Control, 10-13 December 2013, Firenze
Plaats van productieFirenze, Italy
UitgeverijInstitute of Electrical and Electronics Engineers
StatusGepubliceerd - 2013
Evenement52nd IEEE Conference on Decision and Control (CDC 2013) - Florence, Italië
Duur: 10 dec 201313 dec 2013
Congresnummer: 52


Congres52nd IEEE Conference on Decision and Control (CDC 2013)
Verkorte titelCDC 2013
Ander52nd IEEE Conference on Decision and Control

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