Koopman Kernels for Learning Dynamical Systems from Trajectory Data
Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023
A repository for an online adaptive Koopman algorithm
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
koopman operator examples
A framework for data-driven modeling and analysis of granular materials in the strongly nonlinear regime using the modern Koopman theory
This approach is used to solve path optimization for off-road terrain by providing a Koopman operator based convex formulation
This research work is about Limited Data Acquisition for the real life physical experiment of fluid flow across cylinder based on Kernelized Extended Dynamic Mode Decomposition by incorporating Gaussian Random Matrix Theory and Laplacian Kernel Function Hilbert space.
Add a description, image, and links to the koopman-operator-theory topic page so that developers can more easily learn about it.
To associate your repository with the koopman-operator-theory topic, visit your repo's landing page and select "manage topics."