Predictor input selection for the identification of dynamic models embedded in networks

A.G. Dankers, P.M.J. Hof, Van den, X. Bombois, P.S.C. Heuberger

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Recently, the Two-Stage method has been proposed as a tool to obtain consistent estimates of modules embedded in complex dynamic networks. However, for this method the variables which must be included in the predictor model are currently not considered as a user choice. In this paper it is shown that there is considerable freedom as to which variables to include in the predictor model as inputs, and still obtain consistent estimates of the module of interest. Conditions that the choice of predictor inputs must satisfy are presented. Attention is focused on choosing the smallest number of predictor inputs. This could be an advantage if the node signals must be measured using sensors that are expensive. Efficient algorithms are presented for checking the conditions and obtaining the estimates
Original languageEnglish
Title of host publicationProceedings of the European Control Conference (ECC13), 17-19 July 2013, Zurich
Place of PublicationZurich, Switzerland
Publication statusPublished - 2013
Event12th European Control Conference, ECC 2013 - Zurich, Switzerland, Zürich, Switzerland
Duration: 17 Jul 201319 Jul 2013
Conference number: 12


Conference12th European Control Conference, ECC 2013
Abbreviated titleECC 2013
OtherEuropean Control Conference 2013
Internet address


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