Data-driven reduced order modeling for nonlinear dynamical systems
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Updated
Apr 13, 2025 - MATLAB
Data-driven reduced order modeling for nonlinear dynamical systems
Matlab implementation of online and window dynamic mode decomposition algorithms
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
epidWaves is a Matlab/Python package to fit multi-wave statistical models to the complex epidemic data.
Machine learning project which studies the complex dynamics of earthquakes through spatial-temporal data analysis.
Data-driven/Machine-learning control of a parrot rolling spider with integration of dynamic equations of motion
Repository with MIMO data-driven modeling algorithms
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