A tutorial on Bayesian approach to non-linear system identification

Prof. Keith Worden (University of Sheffield) will present an overview of data-driven and machine learning approaches in nonlinear structural dynamics, with a focus on Bayesian system identification methods. Particular attention will be given to the integration of experimental data with physical insight through grey-box and physics-informed models, highlighting their relevance for modern engineering applications.

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