May 23 - 27, 2021 – SIAM 2021 Conference on Applications of Dynamical Systems (DS21)
Recordings of our talks are on our Youtube channel linked below.
In the Society for Industrial and Applied Mathematics (SIAM) conference on applied dynamical systems - DS21, held virtually due to COVID-19, experts and researchers from all over the world presented their recent findings in the area of applied mathematics and nonlinear dynamics. The Mezić research group from UCSB had a strong presence by unveiling their most recent discoveries centered around Koopman-operator theoretic treatment of complex phenomena and data-driven modeling of the high-dimensional systems.
Igor Mezić, “Koopman Operator, Geometry, and Learning of Dynamical Systems”,
Yoshihiko Susuki, "Koopman Resolvent for Nonlinear Dynamical Systems",
Allan Avila, “Pullback Operator Methods in Dynamical Systems: Theory and Applications”,
Michael Banks, “Koopman Mode Analysis and Control of a Soft Robotic Arm”,
Gowtham S Seenivasaharagavan, “Mean Subtraction and Mode Selection in Dynamic Mode Decomposition”,
Mathias Wanner, “Robust Dynamic Mode Decomposition for Random Dynamical Systems”.