☆83May 3, 2018Updated 8 years ago
Alternatives and similar repositories for KoopmanMPC
Users that are interested in KoopmanMPC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆10May 21, 2018Updated 8 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆86Jul 3, 2026Updated 2 months ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆14Apr 5, 2023Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆164Jun 10, 2020Updated 6 years ago
- ☆23Jul 30, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆53Nov 15, 2020Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆93Apr 14, 2020Updated 6 years ago
- Soure code for Deep Koopman with Control☆115Jun 19, 2022Updated 4 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆31Sep 20, 2021Updated 5 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆21Dec 12, 2022Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆54Dec 8, 2022Updated 3 years ago
- ☆23Mar 23, 2020Updated 6 years ago
- Neural Koopman Lyapunov Control☆33May 5, 2023Updated 3 years ago
- ☆11Dec 7, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Model-based Control using Koopman Operators☆57Jun 13, 2020Updated 6 years ago
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Jan 14, 2023Updated 3 years ago
- neural networks to learn Koopman eigenfunctions☆494Mar 22, 2024Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆31Dec 8, 2022Updated 3 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆46May 28, 2019Updated 7 years ago
- files for DDK☆11Dec 20, 2023Updated 2 years ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆14Jul 13, 2024Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Aug 5, 2020Updated 6 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Sep 24, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆94Apr 5, 2021Updated 5 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆35Aug 23, 2023Updated 3 years ago
- ☆27Mar 14, 2024Updated 2 years ago
- Code for CDC2022 submission☆11Sep 1, 2025Updated last year
- Learning dynamical systems from data: Koopman☆19Feb 3, 2020Updated 6 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆84Mar 4, 2020Updated 6 years ago
- ☆16Sep 12, 2020Updated 6 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆84May 7, 2024Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆28Apr 29, 2021Updated 5 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆26May 5, 2021Updated 5 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆121Sep 24, 2025Updated 11 months ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Oct 1, 2021Updated 4 years ago
- ☆17Jun 9, 2026Updated 3 months ago
- Orientation estimation for IMUs using multi-kernel maximum Correntropy Kalman filter☆12Sep 7, 2022Updated 4 years ago
- This repository contains MATLAB implementation of a novel approach to Stochastic Model Predictive Control (SMPC) with online constraint t…☆17Jun 24, 2025Updated last year