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System Identification: Full-State Models with Control

System Identification: Full-State Models with Control
1
Steve Brunton
10 min
Intermediate
Video
Theory
Link to External Site
https://www.youtube.com/watch?v=lPbl5HZqdL0

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).

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