System Identification: Full-State Models with Control

Описание к видео System Identification: Full-State Models with Control

This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and the sparse identification of nonlinear dynamics (SINDy).

https://www.eigensteve.com/

This video was produced at the University of Washington

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