Koopman Kernels for Learning Dynamical Systems from Trajectory Data
A repository for an online adaptive Koopman algorithm described for the paper titled "Adaptive Koopman Architectures for Control of Complex Nonlinear Systems".
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023
Official repository for CoRL 2025 Paper: 'KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning' by Li et al. from GRASP Lab, UPenn
This repository contains supplementary material to the paper "Adaptive Koopman Model Predictive Control of Simple Serial Robots".
Bridging infinite-dimensional delay dynamics with fully GPU-accelerated finite-dimensional Koopman learning and provable error bounds for nonlinear delay-differential equations.
Python implementation of the adaptive Koopman model predictive control algorithm
This repository contains the complied GUI and backend codebase to enable the full-functionalities of Project Varuna.
This approach is used to solve path optimization for off-road terrain by providing a Koopman operator based convex formulation
koopman operator examples
Data-driven analysis of dynamical systems using SINDy for ODE reconstruction and the Koopman operator for linearizing nonlinear dynamics.
A framework for data-driven modeling and analysis of granular materials in the strongly nonlinear regime using the modern Koopman theory
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.
Data-driven identification and NMPC of a Quadruple Tank System using Bilinear Koopman Realizations and Physics-Informed Neural Networks (CoDIT 2026).
Data-driven quantum Koopman method for simulating nonlinear dynamics
Bilingual Obsidian notes on Koopman theory, dynamical systems, and applied mathematics.
Python implementation for Koopman operator learning with reservoir liftings.
Topology-aware Koopman autoencoders for forecasting and analyzing networked dynamics
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