Koopman Kernels for Learning Dynamical Systems from Trajectory Data
A repository for an online adaptive Koopman algorithm
Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
A framework for data-driven modeling and analysis of granular materials in the strongly nonlinear regime using the modern Koopman theory
koopman operator examples
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.
This repository contains the complied GUI and backend codebase to enable the full-functionalities of Project Varuna.
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