Output Dynamic Mode Decomposition: An Extension of Dynamic Mode Decomposition Based on Output Functional Expansions

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Dec 2018Publisher:IEEEJournal:2018 IEEE Conference on Decision and Control (CDC)

Authors: Thordur Runolfsson;

doi: 10.1109/cdc.2018.8619601

Output Dynamic Mode Decomposition: An Extension of Dynamic Mode Decomposition Based on Output Functional Expansions

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Abstract

In this paper we present an extension of Dynamic Mode Deecomposition (DMD) that is based on expansions of the Koopman operator for a nonlinear discrete time system and a corresponding expansion of an output equation. The resulting approach, termed Output Dynamic Mode Decomposition (ODMD), is an alternative to Extended Dynamic Mode Decomposition that does not require a preselected dictionary but uses dictionary like functions that are generated by the an identification procedure.

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University of Oklahoma
United States

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