Combining experiments for linear dynamic network identification in the presence of nonlinearities

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Abstract

In many practical applications it might be desirable to excite only point at a time in an interconnection of multiple dynamic subsystems (e.g. large-scale system). Therefore multiple experiments need to be combined to successfully identify one or more subsystems in the network of subsystems. This papers illustrates how the identification of a linear subsystem of a dynamical network containing one or more nonlinear subsystems can result in biased estimates when multiple experiments are combined using the Best Linear Approximation (BLA) based approach.

Original languageEnglish
Article number212026
Number of pages5
JournalJournal of Physics: Conference Series
Volume1065
Issue number21
DOIs
Publication statusPublished - 13 Nov 2018
Event22nd World Congress of the International Measurement Confederation, IMEKO 2018 - Belfast, United Kingdom
Duration: 3 Sep 20186 Sep 2018

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