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Nonlinear Spectral Modeling from Data

Nonlinear Spectral Modeling from Data 06 MarzoMar 2025 14:30 - 23:55 UTC

SPEAKER: George Haller,
Professor Mechanical Engineering at ETH Zürich,
Zürich, Switzerland
 
TITLE Nonlinear Spectral Modeling from Data 
 
ABSTRACTI discuss a dynamical systems alternative to neural networks in the data-driven reduced-order modeling of nonlinear phenomena. Specifically, I show that the recent concept of spectral submanifolds (SSMs) provides very low-dimensional attractors in a large family of mechanics problems ranging from wing oscillations to transitions in shear flows. A data-driven identification of the reduced dynamics on these SSMs gives a mathematically justified way to construct accurate and predictive reduced-order models for solids, fluids and controls without the use of governing equations. I illustrate this on physical problems including the accelerated finite-element simulations of large structures, prediction of transitions to turbulence, reduced-order modeling of fluid-structure interactions, extraction of reduced equations of motion from videos, and model-predictive control of soft robots.
BIOGeorge Haller is a professor of Mechanical Engineering at ETH Zürich, where he holds the Chair in Nonlinear Dynamics and heads the Institute for Mechanical Systems. His prior appointments include tenured faculty positions at Brown, McGill and MIT. He also served as the inaugural director of Morgan Stanley’s fixed income modeling center. Professor Haller is a recipient of a Sloan Fellowship, an ASME Thomas Hughes Young Investigator Award,   the Stanley Corrsin Award of the APS, and the Lyapunov Award of the ASME.  He is an external member of the Hungarian Academy of Science and an elected fellow of SIAM, APS and ASME. He currently serves as feature editor at Nonlinear Dynamics and senior editor at the Journal of Nonlinear Science. His research focuses on nonlinear dynamical systems with applications to mechanical vibrations, coherent structures in turbulence, and data- and equation-driven model reduction for physical systems. He has authored three monographs in these areas.
 
DATE/TIME: Thursday 6 March 2025, at 2.30pm CET.
LOCATION Accademia Pontaniana, Via Mezzocannone 8, 80134, Napoli
The colloquium will also be broadcast online, on Zoom.
Meeting ID: 841 4421 2706    |    Passcode: 656302
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